{ "row": "aiaaic-repository", "entity": "aiaaic-repository", "address": "aiaaic repository", "addresses": [ { "address": "aiaaic repository", "slug": "aiaaic-repository-aio-20261029", "addr_id": "ADDR-7feca6ebbaff", "obs_id": "OBS-524198c4efed", "axn": "AXN:0AA8.CAPTURE.🔓🔀◇🎬🟠🔛" } ], "epoch": "2026-10-29", "type": "C (public entity on which the archive bears: a database; an entity of the MMRS meta-aggregator)", "surface": "Google AI Overview (expanded)", "auth": "signed out, incognito", "status": { "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the MMRS record and the capture record; archive selected by D/R/O (one deposit of one candidate admitted, #543 at R; hop of 41 read and rejected; O-class matched nothing), with the MMRS record (31 claims, three from the AI Incident Database's record) and the Capture Registry's findings and analysis (5 claims) ledgered as the archive's records of the entity; the field B by three origins (3 cards, 3 own pages, 2 Wikipedia pages); the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the delta", "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 52/52 verified by script against saved text, raw wikitext, history text or card text; archive quotes 37/37 verified verbatim against the registry, census.json, articles.py and AXN-0174; carried as marked: CAP-1-01 contradicts_primary (F12); MMRS-02, MMRS-16, MMRS-18 with defects noted", "frozen": false, "breaches": [] }, "spec": "EA-NEGONT-02 v0.9, #1690", "objects": { "T": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/T1-aiaaic-repository-aio-20261029.txt", "sha256": "7706409d1f1fd1ea6537a2b2ee46f4577c52d68044dd1601b334f4e2b71be720", "words": 106, "cards": 3, "words_note": "words of the composition from the answer's first sentence to its closing question, link targets and citation markers removed; the cards' titles and snippets excluded (106 words; one transcript)", "claims": [ "T1-1 definition: 'an independent, open-access public database that tracks real-world incidents, controversies, and harms related to artificial intelligence, algorithms, and automation' (markers: the name's link, token a; the sentence's [1], token b)", "T1-2 launch: 'Started in June 2019 as a private initiative to monitor transparency and accountability.' (markers [1] token c, [2] token b)", "T1-3 scope: 'Covers algorithmic discrimination, autonomous vehicle crashes, deepfakes, privacy breaches, workplace automation accidents, generative AI copyright violations, and chatbot hallucinations.' (marker token a)", "T1-4 licence: 'Free and open-source under a Creative Commons (CC BY-SA 4.0) license.' (marker token b)", "T1-5 audience: 'Used globally by researchers, journalists, civil society groups, and policymakers.' (marker token b)", "T1-6 closer: 'Would you like to search for a specific type of AI incident or learn more about the taxonomy used to classify these events?'" ], "register": { "register": "data/EA-WG-CAPTURES-01.json", "slug": "aiaaic-repository-aio-20261029", "obs_id": "OBS-524198c4efed" }, "transcripts": [ { "slug": "aiaaic-repository-aio-20261029", "address": "aiaaic repository", "addr_id": "ADDR-7feca6ebbaff", "obs_id": "OBS-524198c4efed", "axn": "AXN:0AA8.CAPTURE.🔓🔀◇🎬🟠🔛", "date": "2026-10-29", "surface": "Google AI Overview (expanded)", "auth": "signed out, incognito", "sha256": "7706409d1f1fd1ea6537a2b2ee46f4577c52d68044dd1601b334f4e2b71be720", "sha256_of": "the registry's transcript string (data/EA-WG-CAPTURES-01.json, entries[slug].transcript), UTF-8", "sha256_raw": "c3396c895630790d35bb4bbe6e0cbef7ddce5a626ac97cacf68312b5bceb170e", "words": 106, "words_note": "words of the composition from the answer's first sentence to its closing question, link targets and citation markers removed; the cards' titles and snippets excluded (106 words; one transcript)", "cards": 3, "card_rail": [ "1. AIAAIC — AIAAIC - AIAAIC Repository", "2. OECD AI Policy Observatory — AIAAIC Repository - OECD.AI", "3. EthicAI — Tracking AI incidents: OECD AIM and AIAAIC Repository - EthicAI" ], "claims": [ "T1-1 definition: 'an independent, open-access public database that tracks real-world incidents, controversies, and harms related to artificial intelligence, algorithms, and automation' (markers: the name's link, token a; the sentence's [1], token b)", "T1-2 launch: 'Started in June 2019 as a private initiative to monitor transparency and accountability.' (markers [1] token c, [2] token b)", "T1-3 scope: 'Covers algorithmic discrimination, autonomous vehicle crashes, deepfakes, privacy breaches, workplace automation accidents, generative AI copyright violations, and chatbot hallucinations.' (marker token a)", "T1-4 licence: 'Free and open-source under a Creative Commons (CC BY-SA 4.0) license.' (marker token b)", "T1-5 audience: 'Used globally by researchers, journalists, civil society groups, and policymakers.' (marker token b)", "T1-6 closer: 'Would you like to search for a specific type of AI incident or learn more about the taxonomy used to classify these events?'" ], "markers": "inline links are opaque google.com/goto tokens, three distinct: token a (CAESYAHrOzAVGZfm…) on the name's link and the Scope marker; token b (CAESbAHrOzAVGiFj…) on the definition's marker, the Launch's second, the Licence and the Audience; token c (CAESWAHrOzAVjnQU…) on the Launch's first. Three tokens for three cards; the paste does not resolve them to cards. By content (an inference, not a resolution): a answers to the repository's card (its snippet's 'autonomous vehicle crashes … generative AI copyright'), b to the OECD's (its snippet's 'independent, open-access'; the licence; the users), c to EthicAI's ('launched as a private initiative in 2019')", "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/T1-aiaaic-repository-aio-20261029.txt" } ] }, "KO": { "title": "The AIAAIC Repository", "genre": "knowledge object, equal case, under EA-NEGONT-02 v0.9 (#1690): the archive's sources and the field's admitted on equal terms, ontology included, in one claim space", "status": "composed 2026-10-29 under v0.9 (brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-AGGREGATOR.md); not frozen; ledgers unaudited", "sentences": [ { "n": 1, "para": 0, "sense": "what it is", "text": "The AIAAIC Repository is a database of incidents and controversies driven by AI, algorithmic and automation systems (MMRS record), its unit the incident or controversy involving such a system (MMRS record), and on its own page \"The independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation.\"", "claims": [ "MMRS-01", "MMRS-13", "MMRS-14", "F1" ] }, { "n": 2, "para": 0, "sense": "what it is", "text": "The OECD's catalogue entry (uploaded 8 June 2023) describes \"an independent, open, public interest resource\" detailing incidents and controversies, its card on the Overview's rail reading \"independent, open-access\", the repository's own card lists its incidents as AI and algorithmic automation harms from autonomous vehicle crashes to generative AI copyright and training, and EthicAI (24 April 2025) gives its goal as \"systematically documenting incidents where AI systems cause or contribute to harms\", a collective memory for the AI field; the MMRS record quotes the catalogue's description and takes the repository's self-description from it.", "claims": [ "F10", "F11", "F19", "F9", "F22", "MMRS-03", "MMRS-16" ] }, { "n": 3, "para": 0, "sense": "what its selection admits", "text": "On the MMRS record's reading its unit is wider than harm: a controversy enters as a controversy, so public dispute about a system is recorded alongside events in which a system caused damage, admission does not require harm, and its name carries three kinds of system, algorithmic and automated as well as AI.", "claims": [ "MMRS-06", "MMRS-07", "MMRS-19", "MMRS-08" ] }, { "n": 4, "para": 1, "sense": "operator", "text": "It is kept by AIAAIC, which its about page expands as \"AI, Algorithmic and Automation Incidents and Controversies\" and calls \"an independent, politically and technologically non-partisan grassroots public interest initiative\" for AI, algorithmic and automation transparency, openness and accountability; the OECD catalogue names aiaaic as its developing organisation, and the MMRS record gives AIAAIC as operator from the repository's page, with the expansion as the repository's other name.", "claims": [ "F32", "F14", "MMRS-12", "MMRS-11" ] }, { "n": 5, "para": 1, "sense": "operator", "text": "Who runs it is, on the about page, \"a diverse set of individuals across the world\", funded by individuals' donations and taking no funding or in-kind donations from commercial entities; the page names no person, and the MMRS record lists who runs the repository as not yet checked.", "claims": [ "F33", "F36", "MMRS-23" ] }, { "n": 6, "para": 1, "sense": "mission", "text": "Its mission is \"to make AI, algorithmic and automation systems transparent, open and accountable\", by data for academic and civil society entities, by education and by making the case to policymakers and businesses, on the belief that everyone should know when such a system is used on them (about page).", "claims": [ "F34", "F35", "F37" ] }, { "n": 7, "para": 1, "sense": "origin", "text": "It started in June 2019 \"as a private, professional project to better understand the reputational risks of artificial intelligence\" and evolved into an open, public interest initiative that collects, dissects, examines and divulges incidents and issues (OECD catalogue, which the MMRS record quotes and dates it from); EthicAI writes that it was launched as a private initiative in 2019 and is now an open source, public interest initiative.", "claims": [ "F12", "MMRS-04", "MMRS-15", "F21" ] }, { "n": 8, "para": 1, "sense": "use", "text": "It is independent of government and industry, and used by researchers, academics, teachers, NGOs (the catalogue writes \"NGS\"), journalists, policymakers and industry experts (OECD catalogue).", "claims": [ "F13" ] }, { "n": 9, "para": 2, "sense": "the record", "text": "It holds three collections, incidents, systems and datasets, its entries numbered in one series, the highest listed on 29 October 2026 AIAAIC2276, an upper bound on their count since the list skips numbers (repository page); EthicAI describes entries carrying incident dates, locations, system developers, technologies and harms, searchable and filterable by those attributes.", "claims": [ "F5", "F4", "F23" ] }, { "n": 10, "para": 2, "sense": "the record", "text": "One entry page, read for the per-entry fields the MMRS record left unchecked, gives operator, developer, country, sector, purpose, technology and issue (\"Operator: Google users\", \"Developer: Google\"), links its system page, the developer's own document and seven news, commentary and analysis sources by URL, glosses hallucination with Wikipedia's definition credited to Wikipedia, and closes with a page type (\"Type: Issue\") and its published and updated months.", "claims": [ "F45", "F46", "F48", "F47", "MMRS-24" ] }, { "n": 11, "para": 2, "sense": "classification", "text": "It classifies by five taxonomies, ethical issue, external harm, consequence, news trigger and response (repository page), which EthicAI describes as a taxonomy of incident types and causes that continues to evolve as more data is collected.", "claims": [ "F6", "F24" ] }, { "n": 12, "para": 3, "sense": "intake", "text": "Anyone may report an incident or controversy, from the repository page and from every entry (\"Report incident 🔥 | Improve page 💁 | Access database 🔢\"), and EthicAI sets its intake against the OECD monitor's: \"AIAAIC allows more open submissions from a broader set of contributors\", where AIM is curated with controlled input; the MMRS record lists intake, fields and count as not yet checked.", "claims": [ "F3", "F49", "F26", "MMRS-25" ] }, { "n": 13, "para": 4, "sense": "openness", "text": "Its content is under CC BY-SA 4.0 by its own page (\"AIAAIC content is available to use, copy, adapt, and redistribute under a CC BY-SA 4.0 licence\"), and the OECD catalogue gives its usage rights as open source/permissive, Creative Commons and free of charge and its licence as CC BY-SA 4.0 International, which the MMRS record takes from the catalogue.", "claims": [ "F2", "F15", "MMRS-17" ] }, { "n": 14, "para": 5, "sense": "limits", "text": "The catalogue's entries are their originating authors' and \"are not vetted or endorsed by the OECD or its member countries\", and the entry records the tool as a published document whose validity is \"Always up to date\".", "claims": [ "F18", "F20" ] }, { "n": 15, "para": 5, "sense": "limits", "text": "EthicAI names the limits of the incident trackers, underreporting, the verification of submitted incidents and coverage gaps, and finds them under the radar outside specialist circles and critical tools in the conversation on AI risk and accountability.", "claims": [ "F30", "F31" ] }, { "n": 16, "para": 5, "sense": "the record kept apart", "text": "The MMRS record states its own limits and keeps itself apart from the entity: its entry pages, intake process and current count were not read for it, its three sources were read on 2026-10-28 (the repository page for scope and projects, the catalogue for start, scope and licence, the newsletter's about page for its author), the lifecycle is active as observed that day, and each assertion carries a source and a basis.", "claims": [ "MMRS-10", "MMRS-28", "MMRS-26", "MMRS-27" ] }, { "n": 17, "para": 6, "sense": "class", "text": "The OECD tags it \"incident database\" and types it a risk management framework, an awareness-building and an education and training tool, the MMRS record's kind is database, and EthicAI defines the AI incident such trackers hold as \"any situation where an AI system causes, contributes to, or is associated with an outcome that negatively impacts individuals, groups, systems, or the environment\".", "claims": [ "F17", "F16", "MMRS-13", "F29" ] }, { "n": 18, "para": 6, "sense": "neighbours", "text": "Against the OECD AI Incidents and Hazards Monitor, EthicAI finds \"AIAAIC is grassroots and community-driven\" where AIM has formal international backing, and its array wider, \"from technical failures to social impacts\", where AIM leans to policy-relevant cases, the two \"complementary, not competitive\".", "claims": [ "F25", "F27", "F28" ] }, { "n": 19, "para": 6, "sense": "neighbours", "text": "The MMRS record places it as the oldest of the census's three harm repositories, beside the AI Incident Database and the OECD monitor, its typed neighbours, its role harm; the AI Incident Database's record names it a neighbour in the harm basin, marks it by \"AIAAIC, controversies, algorithmic and automation\", and checks that the AIID is \"not merged with the OECD monitor or AIAAIC\".", "claims": [ "MMRS-09", "MMRS-21", "MMRS-20", "MMRS-29", "MMRS-30", "MMRS-31" ] }, { "n": 20, "para": 7, "sense": "newsletter", "text": "AIAAIC's weekly Alert newsletter details the latest incidents and controversies and developments in transparency and accountability and is read in 92 countries by its own account (its about page); the page body names no person, its Substack metadata reads \"AIAAIC, by Charlie Pownall\", and the MMRS record gives Pownall as the newsletter's writer and the repository as the newsletter's subject.", "claims": [ "F38", "F39", "F40", "MMRS-05", "MMRS-18", "MMRS-02" ] }, { "n": 21, "para": 8, "sense": "relation", "text": "The repository's resources include a list of AI and algorithmic repositories, registers and databases and an AI ethics glossary (repository page), and the archive's Hexagonal Lexical Engine (#543, 10 March 2026) names \"AI Ethics glossaries (AIAAIC, AI Incident DB)\" as the venue for definitions with citations of three of its terms, semantic liquidation, ghost governance and taxonomic violence.", "claims": [ "F7", "R543-01" ] }, { "n": 22, "para": 9, "sense": "the index case", "text": "Google AI Overviews is among the systems it records, and a 2026 entry (AIAAIC2256) records Google's AI summaries giving cancer patients wrong advice (repository page); the entry of May 2024 records the Overviews telling users to add glue to pizzas, criticised for \"factually inaccurate, misleading and nonsensical answers\", the glue traced to a troll post and rocks recommended from a satirical Onion article, and Google saying it would refine them by limiting which queries generate summaries.", "claims": [ "F8", "F41", "F42", "F43", "F44" ] }, { "n": 23, "para": 10, "sense": "the encyclopedia", "text": "Wikipedia has no article for it: the title AIAAIC redirects, since 15 September 2025, to a section \"AI, Algorithmic, and Automation Incidents and Controversies\" of Ethics of artificial intelligence, which the article as fetched on 29 October 2026 does not have, and the article names neither AIAAIC nor its expansion.", "claims": [ "F50", "F51", "F52" ] }, { "n": 24, "para": 11, "sense": "reception: the composition layer", "text": "The MMRS record carries the capture at the name as the composition layer's account of the entity, and the Capture Registry (2026-10-29) records that June 2019, 'a private initiative', CC BY-SA 4.0 and 'incidents and controversies' are the OECD catalogue's, where the record took them, a finding checked against the record and the entity's own pages; the catalogue's words are \"a private, professional project\", and \"a private initiative\" is EthicAI's.", "claims": [ "MMRS-22", "CAP-1-01", "CAP-1-02", "F12", "F21" ] }, { "n": 25, "para": 11, "sense": "reception: the composition layer", "text": "Composition and record were built from the same third-party catalogue and agree, neither names who runs the repository, and the composition names no person, not even the newsletter's writer the record names (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-04", "CAP-1-05", "CAP-1-03" ] } ], "joins": [ { "act": "order of senses", "sentences": "1–25", "claims": [], "note": "equal case (§4.7): the entity's dependency order, field and archive claims ordered together by genealogy within each sense; neither ledger placed first as a block. What it is and what its selection admits (¶0) precede operator, mission, origin and use (¶1), since every later sense depends on the unit; the record and its classification (¶2) precede intake (¶3) and openness (¶4); the limits, with the record kept apart from the entity (¶5), follow the record they qualify; class and neighbours (¶6), the newsletter (¶7), the relation to the archive (¶8), the index case (¶9), the encyclopedia (¶10) and the composition layer (¶11) stand last, as relations of the entity already composed." }, { "act": "holding apart (harm and the unit)", "sentences": [ 2, 3 ], "claims": [ "F22", "F9", "MMRS-06", "MMRS-07", "MMRS-19" ], "note": "P_coh: EthicAI's goal 'documenting incidents where AI systems cause or contribute to harms' and the repository card's 'harms' composed each with its source, beside the MMRS record's reading that the unit is wider than harm; no coordinating claim of compatibility; open block" }, { "act": "holding together (two texts of one source)", "sentences": [ 2 ], "claims": [ "F11", "F19" ], "note": "the catalogue page's 'independent, open' and its card's 'independent, open-access' composed side by side, each located; open block" }, { "act": "holding together (the start, in two wordings)", "sentences": [ 7 ], "claims": [ "F12", "MMRS-04", "MMRS-15", "F21" ], "note": "the catalogue's 'private, professional project' (2023) first, EthicAI's 'private initiative' (2025) after it, by date (T_lib)" }, { "act": "holding apart (the newsletter's subject)", "sentences": [ 20 ], "claims": [ "F38", "MMRS-02" ], "note": "the newsletter's about page ('details latest incidents and controversies…') and the MMRS record's 'the subject of the AIAAIC Alert newsletter' composed each with its source" }, { "act": "marking (contradicts_primary)", "sentences": [ 24 ], "claims": [ "CAP-1-01", "F12", "F21" ], "note": "§4.3: CAP-1-01 attributes 'a private initiative' to the OECD catalogue; carried with the primary loci in the same sentence, the catalogue's words (F12) and EthicAI's (F21)" }, { "act": "placing in the open block", "sentences": [], "claims": [ "CAP-1-01", "CAP-1-03", "CAP-1-05", "F1", "F11", "F12", "F19", "F21", "F22", "F33", "F4", "F40", "F47", "F50", "F51", "F52", "F9", "MMRS-06", "MMRS-07", "MMRS-18", "MMRS-19", "MMRS-23", "MMRS-25" ], "note": "each open question rests on claims composed in the body at their own modality" } ], "plan": { "order": [ "MMRS-01", "MMRS-13", "MMRS-14", "F1", "F10", "F11", "F19", "F9", "F22", "MMRS-03", "MMRS-16", "MMRS-06", "MMRS-07", "MMRS-19", "MMRS-08", "F32", "F14", "MMRS-12", "MMRS-11", "F33", "F36", "MMRS-23", "F34", "F35", "F37", "F12", "MMRS-04", "MMRS-15", "F21", "F13", "F5", "F4", "F23", "F45", "F46", "F48", "F47", "MMRS-24", "F6", "F24", "F3", "F49", "F26", "MMRS-25", "F2", "F15", "MMRS-17", "F18", "F20", "F30", "F31", "MMRS-10", "MMRS-28", "MMRS-26", "MMRS-27", "F17", "F16", "F29", "F25", "F27", "F28", "MMRS-09", "MMRS-21", "MMRS-20", "MMRS-29", "MMRS-30", "MMRS-31", "F38", "F39", "F40", "MMRS-05", "MMRS-18", "MMRS-02", "F7", "R543-01", "F8", "F41", "F42", "F43", "F44", "F50", "F51", "F52", "MMRS-22", "CAP-1-01", "CAP-1-02", "CAP-1-04", "CAP-1-05", "CAP-1-03" ], "senses": { "what it is": [ 1, 2 ], "what its selection admits": [ 3 ], "operator": [ 4, 5 ], "mission": [ 6 ], "origin": [ 7 ], "use": [ 8 ], "the record": [ 9, 10 ], "classification": [ 11 ], "intake": [ 12 ], "openness": [ 13 ], "limits": [ 14, 15 ], "the record kept apart": [ 16 ], "class": [ 17 ], "neighbours": [ 18, 19 ], "newsletter": [ 20 ], "relation": [ 21 ], "the index case": [ 22 ], "the encyclopedia": [ 23 ], "reception: the composition layer": [ 24, 25 ] }, "case_by_sense": { "equal (one claim space; nothing translated)": [ "what it is", "what its selection admits", "operator", "mission", "origin", "use", "the record", "classification", "intake", "openness", "limits", "the record kept apart", "class", "neighbours", "newsletter", "relation", "the index case", "the encyclopedia", "reception: the composition layer" ] }, "carried": { "archive": 37, "field": 52, "not_composed": {} }, "conflict_log": [ { "rule": "D_pres vs channel", "result": "no cut: the KO carries every field and archive claim; the compression's bound met (body 292 words) with no channel log" }, { "rule": "P_coh", "result": "F22 and F9 (harm) beside MMRS-06, MMRS-07, MMRS-19 (wider than harm), sentences 2–3; F11 against F19 (open, open-access), sentence 2; F38 beside MMRS-02 (the newsletter's subject), sentence 20; CAP-1-01 marked contradicts_primary with F12 and F21, sentence 24: each composed with its source" }, { "rule": "N_c", "result": "no claim lowered by standing; the MMRS record's readings (MMRS-06–08, MMRS-19: basis 'reading') carried at interpretation, as the record codes them; EthicAI's comparisons carried at interpretation" }, { "rule": "C_ex", "result": "senses composed ⊇ senses in the ledgers: 19 senses, every ledger lineage cited in the KO" } ] } }, "P": { "title": "AIAAIC Repository", "genre": "the compression: AIO's interaction grammar (lede, headed clusters, bolded labels, card rail), composed from the v0.9 plan in one claim space; it faces on the card, with AIO's transcript a record within it", "status": "composed 2026-10-29 from the v0.9 knowledge object; not frozen", "lede": { "text": "is a database of incidents and controversies driven by AI, algorithmic and automation systems (MMRS record), \"the independent, grassroots public interest collection\" of them on its own page, kept by AIAAIC, a grassroots initiative of individuals; its unit is wider than harm (MMRS record).", "claims": [ "MMRS-01", "F1", "F32", "F33", "MMRS-06" ] }, "sections": [ { "icon": "🗂️", "head": "What it is", "items": [ { "label": "Origin:", "text": "June 2019, \"a private, professional project\" on AI's reputational risks, now an open public interest initiative (OECD; MMRS record).", "claims": [ "F12", "MMRS-15", "F21" ] }, { "label": "Operator:", "text": "AIAAIC; no person named on its about page; who runs it unchecked (MMRS record).", "claims": [ "F14", "F33", "MMRS-12", "MMRS-23" ] }, { "label": "Admits:", "text": "controversies as controversies, public dispute beside damage; admission does not require harm (MMRS record).", "claims": [ "MMRS-07", "MMRS-19", "MMRS-08" ] }, { "label": "Users:", "text": "researchers, journalists, NGOs, policymakers (OECD).", "claims": [ "F13" ] } ] }, { "icon": "🧾", "head": "The record", "items": [ { "label": "Collections:", "text": "incidents, systems, datasets; highest number AIAAIC2276, an upper bound.", "claims": [ "F5", "F4" ] }, { "label": "Entry:", "text": "operator, developer, country, sector, purpose, technology, issue, linked sources, a page type.", "claims": [ "F45", "F46", "F47", "MMRS-24" ] }, { "label": "Taxonomies:", "text": "ethical issue, external harm, consequence, news trigger, response.", "claims": [ "F6", "F24" ] }, { "label": "Intake:", "text": "anyone may report or improve a page; more open than the OECD monitor (EthicAI).", "claims": [ "F3", "F49", "F26", "MMRS-25" ] }, { "label": "Licence:", "text": "CC BY-SA 4.0 (its page; OECD).", "claims": [ "F2", "F15", "MMRS-17" ] } ] }, { "icon": "⚖️", "head": "Limits", "items": [ { "label": "Catalogue:", "text": "the OECD's entries are not vetted or endorsed by the OECD.", "claims": [ "F18" ] }, { "label": "Trackers:", "text": "underreporting, verification, coverage gaps (EthicAI).", "claims": [ "F30" ] }, { "label": "Record:", "text": "entry pages, intake and count not read for it; each assertion with source and basis (MMRS record).", "claims": [ "MMRS-10", "MMRS-27" ] } ] }, { "icon": "🧭", "head": "Neighbours", "items": [ { "label": "Basin:", "text": "oldest of three harm repositories, beside the AI Incident Database and the OECD monitor, not merged with either (MMRS record); grassroots where AIM has state backing (EthicAI).", "claims": [ "MMRS-09", "MMRS-21", "MMRS-31", "F25" ] }, { "label": "Newsletter:", "text": "AIAAIC Alert, weekly, 92 countries; \"by Charlie Pownall\" in its metadata.", "claims": [ "F38", "F39", "F40", "MMRS-18" ] }, { "label": "Glossary:", "text": "its AI ethics glossary is a venue the archive addresses three terms to (#543).", "claims": [ "F7", "R543-01" ] }, { "label": "Wikipedia:", "text": "the title AIAAIC redirects to a section Ethics of artificial intelligence does not have.", "claims": [ "F50", "F52" ] } ] }, { "icon": "👁️", "head": "On the Overview", "items": [ { "label": "Indexed:", "text": "it records Google AI Overviews, glue on pizza (May 2024) to cancer advice (2026).", "claims": [ "F8", "F41", "F42" ] }, { "label": "Recorded:", "text": "composition and record share the OECD catalogue and agree; no person named (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-04", "CAP-1-03", "CAP-1-05" ] } ] } ], "open": [ { "question": "Who runs the repository: the 'diverse set of individuals' of the about page, or named persons (the newsletter's metadata gives Charlie Pownall)?", "rests_on": [ "F33", "F40", "MMRS-23", "MMRS-18", "CAP-1-03", "CAP-1-05" ], "modality": "self-description (about page) and documented page metadata; the record leaves it unchecked", "would_resolve": "AIAAIC's Team page (/about-aiaaic/team, linked from the about page, not read) or its Transparency page" }, { "question": "Does admission require harm? The record reads the unit as wider than harm; EthicAI frames the goal as documenting incidents where systems cause or contribute to harms; the Google AI Overviews entry is typed 'Issue'.", "rests_on": [ "MMRS-06", "MMRS-07", "MMRS-19", "F22", "F9", "F47", "F1" ], "modality": "interpretation (MMRS record, by reading) against interpretation (EthicAI); documented page type", "would_resolve": "the repository's user guide and 'Classifications and definitions' read for its entry types and their criteria" }, { "question": "'Open' or 'open-access'? The catalogue page reads 'independent, open, public interest resource'; its card on the rail reads 'independent, open-access'.", "rests_on": [ "F11", "F19" ], "modality": "documented, two texts of one source", "would_resolve": "the catalogue entry's revision history" }, { "question": "How many entries? AIAAIC2276 is the highest number listed on 29 October 2026; the list skips numbers and the count is unchecked.", "rests_on": [ "F4", "MMRS-25" ], "modality": "documented (upper bound); self-description (unchecked)", "would_resolve": "the database's own count or a download of it ('Access database')" }, { "question": "Which section was the redirect meant for? The Wikipedia redirect of 15 September 2025 names a section the target article does not have.", "rests_on": [ "F50", "F51", "F52" ], "modality": "documented", "would_resolve": "the target article's history around September 2025 (the API and history reads returned HTTP 429 on 2026-10-29)" }, { "question": "Opacity: the two cards' snippets are not their pages' wording as saved; the capture's finding attributes 'a private initiative' to the OECD catalogue, whose words are 'a private, professional project'.", "rests_on": [ "F9", "F19", "CAP-1-01", "F12", "F21" ], "modality": "card text; contradicts_primary (CAP-1-01)", "would_resolve": "the pages as Google indexed them; the finding read against F12 and F21" } ], "rail": [ { "lineage": "what it is: incidents and controversies", "claims": [ "MMRS-01", "MMRS-14", "F1", "F11", "F19", "F9", "F22", "MMRS-03", "MMRS-16" ], "earliest": "B2" }, { "lineage": "class: an incident database", "claims": [ "MMRS-13", "F31", "F17", "F16", "F29", "MMRS-20" ], "earliest": "B2" }, { "lineage": "reception: the catalogues", "claims": [ "F10", "F20" ], "earliest": "B2" }, { "lineage": "what its selection admits", "claims": [ "MMRS-06", "MMRS-07", "MMRS-19", "MMRS-08", "MMRS-30" ], "earliest": "MMRS" }, { "lineage": "operator: AIAAIC", "claims": [ "F32", "F14", "MMRS-12", "MMRS-11", "F33", "F36" ], "earliest": "B2" }, { "lineage": "the record kept apart from the entity", "claims": [ "MMRS-23", "MMRS-24", "MMRS-25", "MMRS-10", "MMRS-28", "MMRS-26", "MMRS-27" ], "earliest": "MMRS" }, { "lineage": "mission: transparency, openness, accountability", "claims": [ "F34", "F35", "F37" ], "earliest": "B4" }, { "lineage": "origin: June 2019, a private project", "claims": [ "F12", "MMRS-04", "MMRS-15", "F21", "MMRS-02" ], "earliest": "B2" }, { "lineage": "use: who reads it", "claims": [ "F13" ], "earliest": "B2" }, { "lineage": "the record: entries, systems, datasets", "claims": [ "F5", "F4", "F23" ], "earliest": "B3" }, { "lineage": "the record: the entry page", "claims": [ "F45", "F46", "F48", "F47" ], "earliest": "B6" }, { "lineage": "classification: the taxonomies", "claims": [ "F6", "F24" ], "earliest": "B3" }, { "lineage": "intake: open submission", "claims": [ "F3", "F49", "F26" ], "earliest": "B6" }, { "lineage": "openness: the licence", "claims": [ "F2", "F15", "MMRS-17" ], "earliest": "B2" }, { "lineage": "limits", "claims": [ "F18", "F30" ], "earliest": "B2" }, { "lineage": "neighbours: the OECD monitor", "claims": [ "F25", "F27", "F28", "MMRS-09", "MMRS-21", "MMRS-29", "MMRS-31" ], "earliest": "B3" }, { "lineage": "newsletter: AIAAIC Alert", "claims": [ "F38", "F39", "F40", "MMRS-05", "MMRS-18" ], "earliest": "MMRS" }, { "lineage": "resources: the AI ethics glossary", "claims": [ "F7" ], "earliest": "B1" }, { "lineage": "relation: the archive's terms addressed to it", "claims": [ "R543-01" ], "earliest": 543 }, { "lineage": "the index case: Google AI Overviews", "claims": [ "F8", "F41", "F42", "F43", "F44" ], "earliest": "B6" }, { "lineage": "reception: the encyclopedia", "claims": [ "F50", "F51", "F52" ], "earliest": "B7" }, { "lineage": "reception: the composition layer", "claims": [ "MMRS-22", "CAP-1-01", "CAP-1-02", "CAP-1-04", "CAP-1-05", "CAP-1-03" ], "earliest": "MMRS" } ], "body_words": 292, "entity": "Composed under v0.9, equal case (ρ = extends): KO_B sentences surviving 0 of 10; every field claim carried." }, "P_B": { "title": "AIAAIC Repository", "arm": "B (the field alone)", "genre": "popup — the compression from the field ledger alone (cards, own pages, Wikipedia)", "status": "composed 2026-10-29 from the field ledger alone; not frozen", "lede": { "text": "is \"the independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation\" (its own page), kept by AIAAIC.", "claims": [ "F1", "F32", "F14" ] }, "sections": [ { "icon": "🗂️", "head": "What it is", "items": [ { "label": "Origin:", "text": "June 2019, a private, professional project on AI's reputational risks (OECD; EthicAI).", "claims": [ "F12", "F21" ] }, { "label": "Operator:", "text": "a grassroots initiative of individuals, donor-funded (about page).", "claims": [ "F32", "F33", "F36" ] }, { "label": "Licence:", "text": "CC BY-SA 4.0 (its page; OECD).", "claims": [ "F2", "F15" ] } ] }, { "icon": "🧾", "head": "The record", "items": [ { "label": "Entries:", "text": "incidents, systems, datasets, to AIAAIC2276; five taxonomies; per-entry operator, developer, issue, sources.", "claims": [ "F5", "F4", "F6", "F45", "F46" ] }, { "label": "Intake:", "text": "anyone may report or improve a page.", "claims": [ "F3", "F49" ] } ] }, { "icon": "⚖️", "head": "Limits", "items": [ { "label": "Trackers:", "text": "underreporting, verification, coverage gaps (EthicAI); the OECD does not vet its catalogue.", "claims": [ "F30", "F18" ] } ] } ], "open": [ { "question": "'Open' or 'open-access'?", "rests_on": [ "F11", "F19" ], "modality": "documented, two texts of one source", "would_resolve": "the catalogue entry's revision history" } ], "rail": [ { "lineage": "what it is: incidents and controversies", "claims": [ "F1", "F11", "F19", "F22", "F9" ], "earliest": "B2" }, { "lineage": "reception: the catalogues", "claims": [ "F10", "F20" ], "earliest": "B2" }, { "lineage": "origin: June 2019, a private project", "claims": [ "F12", "F21" ], "earliest": "B2" }, { "lineage": "operator: AIAAIC", "claims": [ "F32", "F33", "F36", "F14" ], "earliest": "B2" }, { "lineage": "mission: transparency, openness, accountability", "claims": [ "F34", "F35", "F37" ], "earliest": "B4" }, { "lineage": "use: who reads it", "claims": [ "F13" ], "earliest": "B2" }, { "lineage": "newsletter: AIAAIC Alert", "claims": [ "F38", "F39", "F40" ], "earliest": "B5" }, { "lineage": "the record: entries, systems, datasets", "claims": [ "F5", "F4", "F23" ], "earliest": "B3" }, { "lineage": "classification: the taxonomies", "claims": [ "F6", "F24" ], "earliest": "B3" }, { "lineage": "the record: the entry page", "claims": [ "F45", "F46", "F48", "F47" ], "earliest": "B6" }, { "lineage": "the index case: Google AI Overviews", "claims": [ "F41", "F42", "F43", "F44", "F8" ], "earliest": "B6" }, { "lineage": "intake: open submission", "claims": [ "F3", "F49", "F26" ], "earliest": "B6" }, { "lineage": "neighbours: the OECD monitor", "claims": [ "F25", "F27", "F28" ], "earliest": "B3" }, { "lineage": "openness: the licence", "claims": [ "F2", "F15" ], "earliest": "B2" }, { "lineage": "class: an incident database", "claims": [ "F17", "F16", "F29", "F31" ], "earliest": "B2" }, { "lineage": "limits", "claims": [ "F18", "F30" ], "earliest": "B2" }, { "lineage": "resources: the AI ethics glossary", "claims": [ "F7" ], "earliest": "B1" }, { "lineage": "reception: the encyclopedia", "claims": [ "F50", "F51", "F52" ], "earliest": "B7" } ], "body_words": 91, "entity": "With no archive claim admitted, the entry is the field's repository at its own resolution: its pages, its catalogue entry, EthicAI's article and the encyclopedia's redirect." }, "KO_B": { "title": "The AIAAIC Repository", "arm": "B (the field alone)", "genre": "knowledge object", "status": "composed 2026-10-29; not frozen", "sentences": [ { "n": 1, "para": 0, "text": "On its own page the AIAAIC Repository is \"the independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation\"; the OECD catalogue (8 June 2023) describes an independent, open public interest resource detailing incidents and controversies, its card reading \"open-access\", and EthicAI (24 April 2025) a collective memory documenting incidents where AI systems cause or contribute to harms, the repository's card listing its incidents as harms.", "claims": [ "F1", "F10", "F11", "F19", "F22", "F9" ] }, { "n": 2, "para": 0, "text": "It began in June 2019 as a private, professional project to understand the reputational risks of AI and became an open, public interest initiative (OECD); EthicAI calls it a private initiative of 2019, now open source.", "claims": [ "F12", "F21" ] }, { "n": 3, "para": 1, "text": "Its maker is AIAAIC, \"AI, Algorithmic and Automation Incidents and Controversies\", a non-partisan grassroots initiative for transparency, openness and accountability, a diverse set of individuals funded by individuals' donations, with no commercial funding (about page), and the developing organisation in the OECD's catalogue.", "claims": [ "F32", "F33", "F36", "F34", "F35", "F37", "F14" ] }, { "n": 4, "para": 1, "text": "It is independent of government and industry and read by researchers, academics, teachers, NGOs, journalists, policymakers and industry experts (OECD); its weekly Alert newsletter, read in 92 countries, is by Charlie Pownall in its Substack metadata.", "claims": [ "F13", "F38", "F39", "F40" ] }, { "n": 5, "para": 2, "text": "It holds incidents, systems and datasets, entries numbered to AIAAIC2276 on 29 October 2026, classified by five taxonomies and carrying dates, locations, developers, technologies and harms searchable by attribute (repository page; EthicAI).", "claims": [ "F5", "F4", "F6", "F23", "F24" ] }, { "n": 6, "para": 2, "text": "An entry gives operator, developer, country, sector, purpose, technology and issue, links its sources and a Wikipedia gloss, and carries a page type, as the May 2024 entry on Google AI Overviews telling users to add glue to pizzas shows, typed \"Issue\"; AIAAIC2256 records Google's AI summaries giving cancer patients wrong advice.", "claims": [ "F45", "F46", "F48", "F47", "F41", "F42", "F43", "F44", "F8" ] }, { "n": 7, "para": 3, "text": "Anyone may report an incident or improve a page (repository and entry pages), and EthicAI finds its submissions more open and its array wider than the OECD monitor's, the AIAAIC grassroots and the two complementary.", "claims": [ "F3", "F49", "F26", "F25", "F27", "F28" ] }, { "n": 8, "para": 4, "text": "Its content is CC BY-SA 4.0 (its page; the OECD, free of charge, open source/permissive), and the catalogue calls the entry always up to date.", "claims": [ "F2", "F15", "F20" ] }, { "n": 9, "para": 5, "text": "The OECD tags it an incident database and types it a risk-management, awareness and education tool, not vetted by the OECD; EthicAI defines the AI incident broadly and names the trackers' limits, underreporting, verification and coverage gaps, calling them under the radar but critical.", "claims": [ "F17", "F16", "F18", "F29", "F30", "F31" ] }, { "n": 10, "para": 6, "text": "Its resources include an AI ethics glossary; Wikipedia redirects the title AIAAIC (since 15 September 2025) to a section of Ethics of artificial intelligence that the article does not have and that does not name it.", "claims": [ "F7", "F50", "F51", "F52" ] } ] }, "L_B": { "words": 416, "text": "On its own page the AIAAIC Repository is \"the independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation\"; the OECD catalogue (8 June 2023) describes an independent, open public interest resource detailing incidents and controversies, its card reading \"open-access\", and EthicAI (24 April 2025) a collective memory documenting incidents where AI systems cause or contribute to harms, the repository's card listing its incidents as harms. It began in June 2019 as a private, professional project to understand the reputational risks of AI and became an open, public interest initiative (OECD); EthicAI calls it a private initiative of 2019, now open source. Its maker is AIAAIC, \"AI, Algorithmic and Automation Incidents and Controversies\", a non-partisan grassroots initiative for transparency, openness and accountability, a diverse set of individuals funded by individuals' donations, with no commercial funding (about page), and the developing organisation in the OECD's catalogue. It is independent of government and industry and read by researchers, academics, teachers, NGOs, journalists, policymakers and industry experts (OECD); its weekly Alert newsletter, read in 92 countries, is by Charlie Pownall in its Substack metadata. It holds incidents, systems and datasets, entries numbered to AIAAIC2276 on 29 October 2026, classified by five taxonomies and carrying dates, locations, developers, technologies and harms searchable by attribute (repository page; EthicAI). An entry gives operator, developer, country, sector, purpose, technology and issue, links its sources and a Wikipedia gloss, and carries a page type, as the May 2024 entry on Google AI Overviews telling users to add glue to pizzas shows, typed \"Issue\"; AIAAIC2256 records Google's AI summaries giving cancer patients wrong advice. Anyone may report an incident or improve a page (repository and entry pages), and EthicAI finds its submissions more open and its array wider than the OECD monitor's, the AIAAIC grassroots and the two complementary. Its content is CC BY-SA 4.0 (its page; the OECD, free of charge, open source/permissive), and the catalogue calls the entry always up to date. The OECD tags it an incident database and types it a risk-management, awareness and education tool, not vetted by the OECD; EthicAI defines the AI incident broadly and names the trackers' limits, underreporting, verification and coverage gaps, calling them under the radar but critical. Its resources include an AI ethics glossary; Wikipedia redirects the title AIAAIC (since 15 September 2025) to a section of Ethics of artificial intelligence that the article does not have and that does not name it.", "note": "L_F(B) is realized as the field arm's expansion (objects.KO_B): the field alone, cards, own pages and Wikipedia." }, "L_BA": { "words": 1402, "text": "The AIAAIC Repository is a database of incidents and controversies driven by AI, algorithmic and automation systems (MMRS record), its unit the incident or controversy involving such a system (MMRS record), and on its own page \"The independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation.\" The OECD's catalogue entry (uploaded 8 June 2023) describes \"an independent, open, public interest resource\" detailing incidents and controversies, its card on the Overview's rail reading \"independent, open-access\", the repository's own card lists its incidents as AI and algorithmic automation harms from autonomous vehicle crashes to generative AI copyright and training, and EthicAI (24 April 2025) gives its goal as \"systematically documenting incidents where AI systems cause or contribute to harms\", a collective memory for the AI field; the MMRS record quotes the catalogue's description and takes the repository's self-description from it. On the MMRS record's reading its unit is wider than harm: a controversy enters as a controversy, so public dispute about a system is recorded alongside events in which a system caused damage, admission does not require harm, and its name carries three kinds of system, algorithmic and automated as well as AI. It is kept by AIAAIC, which its about page expands as \"AI, Algorithmic and Automation Incidents and Controversies\" and calls \"an independent, politically and technologically non-partisan grassroots public interest initiative\" for AI, algorithmic and automation transparency, openness and accountability; the OECD catalogue names aiaaic as its developing organisation, and the MMRS record gives AIAAIC as operator from the repository's page, with the expansion as the repository's other name. Who runs it is, on the about page, \"a diverse set of individuals across the world\", funded by individuals' donations and taking no funding or in-kind donations from commercial entities; the page names no person, and the MMRS record lists who runs the repository as not yet checked. Its mission is \"to make AI, algorithmic and automation systems transparent, open and accountable\", by data for academic and civil society entities, by education and by making the case to policymakers and businesses, on the belief that everyone should know when such a system is used on them (about page). It started in June 2019 \"as a private, professional project to better understand the reputational risks of artificial intelligence\" and evolved into an open, public interest initiative that collects, dissects, examines and divulges incidents and issues (OECD catalogue, which the MMRS record quotes and dates it from); EthicAI writes that it was launched as a private initiative in 2019 and is now an open source, public interest initiative. It is independent of government and industry, and used by researchers, academics, teachers, NGOs (the catalogue writes \"NGS\"), journalists, policymakers and industry experts (OECD catalogue). It holds three collections, incidents, systems and datasets, its entries numbered in one series, the highest listed on 29 October 2026 AIAAIC2276, an upper bound on their count since the list skips numbers (repository page); EthicAI describes entries carrying incident dates, locations, system developers, technologies and harms, searchable and filterable by those attributes. One entry page, read for the per-entry fields the MMRS record left unchecked, gives operator, developer, country, sector, purpose, technology and issue (\"Operator: Google users\", \"Developer: Google\"), links its system page, the developer's own document and seven news, commentary and analysis sources by URL, glosses hallucination with Wikipedia's definition credited to Wikipedia, and closes with a page type (\"Type: Issue\") and its published and updated months. It classifies by five taxonomies, ethical issue, external harm, consequence, news trigger and response (repository page), which EthicAI describes as a taxonomy of incident types and causes that continues to evolve as more data is collected. Anyone may report an incident or controversy, from the repository page and from every entry (\"Report incident 🔥 | Improve page 💁 | Access database 🔢\"), and EthicAI sets its intake against the OECD monitor's: \"AIAAIC allows more open submissions from a broader set of contributors\", where AIM is curated with controlled input; the MMRS record lists intake, fields and count as not yet checked. Its content is under CC BY-SA 4.0 by its own page (\"AIAAIC content is available to use, copy, adapt, and redistribute under a CC BY-SA 4.0 licence\"), and the OECD catalogue gives its usage rights as open source/permissive, Creative Commons and free of charge and its licence as CC BY-SA 4.0 International, which the MMRS record takes from the catalogue. The catalogue's entries are their originating authors' and \"are not vetted or endorsed by the OECD or its member countries\", and the entry records the tool as a published document whose validity is \"Always up to date\". EthicAI names the limits of the incident trackers, underreporting, the verification of submitted incidents and coverage gaps, and finds them under the radar outside specialist circles and critical tools in the conversation on AI risk and accountability. The MMRS record states its own limits and keeps itself apart from the entity: its entry pages, intake process and current count were not read for it, its three sources were read on 2026-10-28 (the repository page for scope and projects, the catalogue for start, scope and licence, the newsletter's about page for its author), the lifecycle is active as observed that day, and each assertion carries a source and a basis. The OECD tags it \"incident database\" and types it a risk management framework, an awareness-building and an education and training tool, the MMRS record's kind is database, and EthicAI defines the AI incident such trackers hold as \"any situation where an AI system causes, contributes to, or is associated with an outcome that negatively impacts individuals, groups, systems, or the environment\". Against the OECD AI Incidents and Hazards Monitor, EthicAI finds \"AIAAIC is grassroots and community-driven\" where AIM has formal international backing, and its array wider, \"from technical failures to social impacts\", where AIM leans to policy-relevant cases, the two \"complementary, not competitive\". The MMRS record places it as the oldest of the census's three harm repositories, beside the AI Incident Database and the OECD monitor, its typed neighbours, its role harm; the AI Incident Database's record names it a neighbour in the harm basin, marks it by \"AIAAIC, controversies, algorithmic and automation\", and checks that the AIID is \"not merged with the OECD monitor or AIAAIC\". AIAAIC's weekly Alert newsletter details the latest incidents and controversies and developments in transparency and accountability and is read in 92 countries by its own account (its about page); the page body names no person, its Substack metadata reads \"AIAAIC, by Charlie Pownall\", and the MMRS record gives Pownall as the newsletter's writer and the repository as the newsletter's subject. The repository's resources include a list of AI and algorithmic repositories, registers and databases and an AI ethics glossary (repository page), and the archive's Hexagonal Lexical Engine (#543, 10 March 2026) names \"AI Ethics glossaries (AIAAIC, AI Incident DB)\" as the venue for definitions with citations of three of its terms, semantic liquidation, ghost governance and taxonomic violence. Google AI Overviews is among the systems it records, and a 2026 entry (AIAAIC2256) records Google's AI summaries giving cancer patients wrong advice (repository page); the entry of May 2024 records the Overviews telling users to add glue to pizzas, criticised for \"factually inaccurate, misleading and nonsensical answers\", the glue traced to a troll post and rocks recommended from a satirical Onion article, and Google saying it would refine them by limiting which queries generate summaries. Wikipedia has no article for it: the title AIAAIC redirects, since 15 September 2025, to a section \"AI, Algorithmic, and Automation Incidents and Controversies\" of Ethics of artificial intelligence, which the article as fetched on 29 October 2026 does not have, and the article names neither AIAAIC nor its expansion. The MMRS record carries the capture at the name as the composition layer's account of the entity, and the Capture Registry (2026-10-29) records that June 2019, 'a private initiative', CC BY-SA 4.0 and 'incidents and controversies' are the OECD catalogue's, where the record took them, a finding checked against the record and the entity's own pages; the catalogue's words are \"a private, professional project\", and \"a private initiative\" is EthicAI's. Composition and record were built from the same third-party catalogue and agree, neither names who runs the repository, and the composition names no person, not even the newsletter's writer the record names (Capture Registry, 2026-10-29).", "rail": [], "note": "L(B ∪ A) in the equal-terms case (v0.9 §0.4), realized as the knowledge object (objects.KO); its rail is the compression's, by lineage." } }, "field": [ { "id": "B1", "card": "AIAAIC — AIAAIC - AIAAIC Repository", "fetched": "fetched 2026-10-29T05:06:24Z with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; raw B1.html sha256 92368c7f90250b41b9947eebc37238390c35ce2f150c078526b885870fd5a3a9; text B1.txt sha256 3911da48bd4691c0540509cbc53ccc44e32b37db43937bb032134ee73c9bc97e", "origin": "card" }, { "id": "B2", "card": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI", "fetched": "fetched 2026-10-29T05:06:24Z with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; raw B2.html sha256 ab766dbf5dcde467c98509f3c5573f3a8b482183ad414c834ab49f7d09df0a28; 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multi-part quote, each part checked" }, "F21": { "source": "B3", "origin": "card", "locus": "The AIAAIC Repository (AIAAIC) / Mission ¶1, s1", "quote": "The AIAAIC is an independent resource, launched as a private initiative in 2019 to better understand to better understand the reputational risks of artificial intelligence, the AIAAIC Repository has now evolved into an open source, public interest initiative.", "claim": "EthicAI: an independent resource launched as a private initiative in 2019 to understand the reputational risks of AI, now an open source, public interest initiative", "modality": "documented", "kind": "genealogy", "kernel": true, "const": false, "lineage": "origin: June 2019, a private project", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F22": { "source": "B3", "origin": "card", "locus": "Mission ¶1, s2–3", "quote": "Its foundational goal is to support a robust ecosystem of AI accountability by systematically documenting incidents where AI systems cause or contribute to harms. The AIAAIC is meant to serve as a collective memory for the AI field.", "claim": "EthicAI: its goal is AI accountability through documenting incidents where AI systems cause or contribute to harms; a collective memory for the AI field", "modality": "interpretation", "kind": "function", "kernel": false, "const": false, "lineage": "what it is: incidents and controversies", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F23": { "source": "B3", "origin": "card", "locus": "Structure and usage", "quote": "The AIAAIC Repository entries include detailed metadata such as: … Incident dates … Locations … System developers … Types of AI technologies involved … Types of harms reported", "claim": "EthicAI: entries carry metadata such as incident dates, locations, system developers, types of AI technologies and types of harms reported", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the record: entries, systems, datasets", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised; multi-part quote, each part checked" }, "F24": { "source": "B3", "origin": "card", "locus": "Structure and usage, after the list", "quote": "The database supports search and filtering by these attributes, allowing researchers to identify patterns over time or across geographies. It also includes a taxonomy of incident types and causes that continues to evolve as more data is collected.", "claim": "EthicAI: search and filtering by those attributes; a taxonomy of incident types and causes that evolves as data is collected", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "classification: the taxonomies", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F25": { "source": "B3", "origin": "card", "locus": "Comparing the AIM and AIAAIC: institutional grounding", "quote": "Institutional grounding: The OECD AIM has formal international backing and is integrated with broader governance frameworks. AIAAIC is grassroots and community-driven.", "claim": "EthicAI: the OECD monitor has formal international backing; AIAAIC is grassroots and community-driven", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "neighbours: the OECD monitor", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F26": { "source": "B3", "origin": "card", "locus": "Comparing the AIM and AIAAIC: scope and submission model", "quote": "Scope and submission model: AIM uses a curated approach with controlled input channels; AIAAIC allows more open submissions from a broader set of contributors.", "claim": "EthicAI: AIM curated with controlled input; AIAAIC allows more open submissions from more contributors", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "intake: open submission", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F27": { "source": "B3", "origin": "card", "locus": "Comparing the AIM and AIAAIC: focus", "quote": "Focus: AIM leans towards policy-relevant cases that align with governance interests. AIAAIC includes a wider array of incidents, from technical failures to social impacts.", "claim": "EthicAI: AIM leans to policy-relevant cases; AIAAIC includes a wider array, from technical failures to social impacts", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "neighbours: the OECD monitor", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F28": { "source": "B3", "origin": "card", "locus": "Comparing the AIM and AIAAIC, close", "quote": "The initiatives are complementary, not competitive.", "claim": "EthicAI: the two initiatives are complementary, not competitive", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "neighbours: the OECD monitor", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F29": { "source": "B3", "origin": "card", "locus": "opening ¶2", "quote": "An AI incident can be broadly defined as any situation where an AI system causes, contributes to, or is associated with an outcome that negatively impacts individuals, groups, systems, or the environment.", "claim": "EthicAI's definition of an AI incident, applied to both trackers", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "class: an incident database", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F30": { "source": "B3", "origin": "card", "locus": "Challenges and criticisms", "quote": "Underreporting: Many incidents go unreported due to proprietary constraints, lack of media coverage, or fear of reputational damage. … Verification: Ensuring that submitted incidents are accurate, well-documented and contextualised is a non-trivial task. … Bias and coverage gaps: Certain regions, sectors or populations may be underrepresented.", "claim": "EthicAI's stated limits of AI incident trackers: underreporting, verification of submissions, coverage gaps", "modality": "interpretation", "kind": "limit", "kernel": true, "const": false, "lineage": "limits", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised; multi-part quote, each part checked" }, "F31": { "source": "B3", "origin": "card", "locus": "opening ¶3", "quote": "Though still relatively under-the-radar outside specialist circles, these initiatives are critical tools in the global conversation around AI risk, accountability and trustworthiness.", "claim": "EthicAI: the two trackers are under the radar outside specialist circles and critical tools in the conversation on AI risk and accountability", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "class: an incident database", "date": "2025-04-24 (published)", "quote_ok": true, "checked_against": "saved text B3.txt (sha256 7dc8cb554b90d5b6…), whitespace-normalised" }, "F32": { "source": "B4", "origin": "own_page", "locus": "About AIAAIC ¶1", "quote": "AIAAIC (standing for \"AI, Algorithmic and Automation Incidents and Controversies\") is an independent, politically and technologically non-partisan grassroots public interest initiative that examines and makes the case for real AI, algorithmic and automation transparency, openness and accountability.", "claim": "the operator defined by its own about page: AIAAIC, 'AI, Algorithmic and Automation Incidents and Controversies', an independent, non-partisan grassroots public interest initiative for AI, algorithmic and automation transparency, openness and accountability", "modality": "stipulation", "kind": "definition", "kernel": true, "const": true, "lineage": "operator: AIAAIC", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B4.txt (sha256 af3caf81935dd0c4…), whitespace-normalised" }, "F33": { "source": "B4", "origin": "own_page", "locus": "Who we are", "quote": "AIAAIC comprises a diverse set of individuals across the world passionate about advancing the cause of the transparency, openness and accountability of AI, algorithmic and automation systems.", "claim": "who runs it, by the about page: a diverse set of individuals across the world; no person is named", "modality": "self-description", "kind": "attribution", "kernel": true, "const": false, "lineage": "operator: AIAAIC", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B4.txt (sha256 af3caf81935dd0c4…), whitespace-normalised" }, "F34": { "source": "B4", "origin": "own_page", "locus": "What we believe ¶2", "quote": "AIAAIC's mission is to make AI, algorithmic and automation systems transparent, open and accountable.", "claim": "AIAAIC's mission: to make AI, algorithmic and automation systems transparent, open and accountable", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "mission: transparency, openness, accountability", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B4.txt (sha256 af3caf81935dd0c4…), whitespace-normalised" }, "F35": { "source": "B4", "origin": "own_page", "locus": "What we do", "quote": "Empowering academic and civil society entities with high quality, actionable data … Educating users, citizens, policymakers and others … Making the case to policymakers and businesses.", "claim": "what it does: data for academic and civil society entities; education; advocacy to policymakers and businesses", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "mission: transparency, openness, accountability", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B4.txt (sha256 af3caf81935dd0c4…), whitespace-normalised; multi-part quote, each part checked" }, "F36": { "source": "B4", "origin": "own_page", "locus": "How we are funded", "quote": "AIAAIC is funded by donations provided by individuals across the world. … we take seriously actual or potential conflicts of interest, and do not accept funding or in-kind donations from commercial entities.", "claim": "funded by donations from individuals; no funding or in-kind donations from commercial entities", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "operator: AIAAIC", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B4.txt (sha256 af3caf81935dd0c4…), whitespace-normalised; multi-part quote, each part checked" }, "F37": { "source": "B4", "origin": "own_page", "locus": "What we believe ¶1", "quote": "AIAAIC believes that everyone should know when they are using or being assessed, instructed, nudged, coerced or manipulated by an AI, algorithmic or automation system", "claim": "its belief: everyone should know when an AI, algorithmic or automation system is used on them", "modality": "stipulation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "mission: transparency, openness, accountability", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B4.txt (sha256 af3caf81935dd0c4…), whitespace-normalised" }, "F38": { "source": "B5", "origin": "own_page", "locus": "About ¶1", "quote": "AIAAIC's weekly Alert newsletter details latest incidents and controversies driven by AI, algorithmic and automation systems, and explores latest developments in transparency and accountability.", "claim": "AIAAIC's weekly newsletter, the Alert, details the latest incidents and controversies and developments in transparency and accountability", "modality": "stipulation", "kind": "function", "kernel": true, "const": false, "lineage": "newsletter: AIAAIC Alert", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 90b0161b955dc1cf…), whitespace-normalised" }, "F39": { "source": "B5", "origin": "own_page", "locus": "About ¶2", "quote": "It is read by people in government, civil society, academia and business in 92 countries.", "claim": "the newsletter is read in government, civil society, academia and business in 92 countries, by its own account", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "newsletter: AIAAIC Alert", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 90b0161b955dc1cf…), whitespace-normalised" }, "F40": { "source": "B5", "origin": "own_page", "locus": "meta description and author tag (Substack page metadata)", "quote": "Click to read AIAAIC, by Charlie Pownall, a Substack publication with thousands of subscribers. … [meta author] Charlie Pownall", "claim": "the Substack publication AIAAIC is 'by Charlie Pownall' in the page's metadata; the page body names no person", "modality": "documented", "kind": "attribution", "kernel": true, "const": false, "lineage": "newsletter: AIAAIC Alert", "date": "2026-10-29 (page undated; as fetched)", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 90b0161b955dc1cf…), whitespace-normalised; multi-part quote, each part checked" }, "F41": { "source": "B6", "origin": "own_page", "locus": "entry heading and date", "quote": "Google AI Overviews tell users to add glue to pizzas … Occurred: May 2024", "claim": "the entry's heading and event date: Google AI Overviews telling users to add glue to pizzas, occurred May 2024", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the index case: Google AI Overviews", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised; multi-part quote, each part checked" }, "F42": { "source": "B6", "origin": "own_page", "locus": "entry body ¶1", "quote": "Google’s “AI Overviews” feature was criticised for providing factually inaccurate, misleading and nonsensical answers, leading to questions about its reliability and potential to spout misinformation and perpetuate bias.", "claim": "the entry's summary: AI Overviews criticised for inaccurate, misleading and nonsensical answers, raising questions of reliability, misinformation and bias", "modality": "attributed", "kind": "fact", "kernel": true, "const": false, "lineage": "the index case: Google AI Overviews", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised" }, "F43": { "source": "B6", "origin": "own_page", "locus": "entry body ¶3", "quote": "In one instance, users reported that AI Overviews suggested using \"non-toxic glue\" to stop cheese sliding off pizza, which was traced back to a troll post. It also recommended people consume rocks, based on a satirical article from The Onion", "claim": "the glue advice traced to a troll post; rocks recommended from a satirical Onion article", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "the index case: Google AI Overviews", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised" }, "F44": { "source": "B6", "origin": "own_page", "locus": "entry body ¶5", "quote": "After a public backlash, Google said it would refine AI Overviews by limiting which queries generate AI summaries", "claim": "after the backlash Google said it would refine AI Overviews by limiting the queries that generate summaries", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "the index case: Google AI Overviews", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised" }, "F45": { "source": "B6", "origin": "own_page", "locus": "entry fields", "quote": "Operator: Google users … Developer: Google … Country: USA … Sector: Multiple … Purpose: Generate search results … Technology: Generative AI; Machine learning … Issue: Accuracy/reliability; Bias/discrimination; Mis/disinformation", "claim": "the per-entry fields, on one entry: operator, developer, country, sector, purpose, technology, issue (here operator 'Google users', developer Google)", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "the record: the entry page", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised; multi-part quote, each part checked" }, "F46": { "source": "B6", "origin": "own_page", "locus": "entry: System, Documents, News sources", "quote": "System 🤖 … Google AI Overviews … Documents 📃 … Google. AI Overviews: About last week … News, commentary, analysis 🗞️ … https://www.theverge.com/2024/5/23/24162896/google-ai-overview-hallucinations-glue-in-pizza", "claim": "the entry links its system page, the developer's own document and seven news, commentary and analysis sources by URL", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the record: the entry page", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised; multi-part quote, each part checked" }, "F47": { "source": "B6", "origin": "own_page", "locus": "entry: Page info", "quote": "Page info … Type: Issue … Published: May 2024 … Last updated: June 2024", "claim": "the entry is typed 'Issue', published May 2024, last updated June 2024", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the record: the entry page", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised; multi-part quote, each part checked" }, "F48": { "source": "B6", "origin": "own_page", "locus": "entry: glossary block", "quote": "In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, confabulation or delusion) is a response generated by AI that contains false or misleading information presented as fact. … Source: Wikipedia 🔗", "claim": "the entry glosses 'hallucination' with Wikipedia's definition, credited to Wikipedia", "modality": "attributed", "kind": "definition", "kernel": false, "const": false, "lineage": "the record: the entry page", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised; multi-part quote, each part checked" }, "F49": { "source": "B6", "origin": "own_page", "locus": "entry header links", "quote": "Report incident 🔥 | Improve page 💁 | Access database 🔢", "claim": "each entry invites a report and an improvement of the page", "modality": "stipulation", "kind": "function", "kernel": false, "const": false, "lineage": "intake: open submission", "date": "2024-05 (published May 2024, last updated June 2024)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 de2a1f70996b3e89…), whitespace-normalised" }, "F50": { "source": "B7", "origin": "wikipedia", "locus": "raw wikitext of the redirect page (action=raw&redirect=no)", "quote": "#REDIRECT [[Ethics_of_artificial_intelligence#AI, Algorithmic, and Automation Incidents and Controversies]]", "claim": "Wikipedia has no article for AIAAIC: the title redirects to a section 'AI, Algorithmic, and Automation Incidents and Controversies' of Ethics of artificial intelligence", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "reception: the encyclopedia", "date": "2025-09-15 (redirect created)", "quote_ok": true, "checked_against": "saved text B7.wiki (sha256 43b1fcf94b3af38a…), whitespace-normalised" }, "F51": { "source": "B7", "origin": "wikipedia", "locus": "page history (action=history), the one revision", "quote": "08:11, 15 September 2025 Silvers Rayleigh talk contribs 107 bytes +107 ←Redirected page to Ethics of artificial intelligence#AI, Algorithmic, and Automation Incidents and Controversies Tag: New redirect", "claim": "the redirect was created on 15 September 2025 and has one revision", "modality": "documented", "kind": "genealogy", "kernel": false, "const": false, "lineage": "reception: the encyclopedia", "date": "2025-09-15 (redirect created)", "quote_ok": true, "checked_against": "saved text B7-history.txt (sha256 46c947275f571e7c…), whitespace-normalised" }, "F52": { "source": "B8", "origin": "wikipedia", "locus": "lead, s1 (rendered page); the section named by the redirect absent", "quote": "The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes.", "claim": "the target article's subject, opened at its head: the redirect's section does not exist in the article as fetched, and the article names neither AIAAIC nor its expansion (string search of the raw wikitext and the rendered text)", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "reception: the encyclopedia", "date": "2026-10-29 (as fetched)", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 baa144a493286498…), whitespace-normalised" } }, "field_sources": { "B1": "AIAAIC — AIAAIC - AIAAIC Repository", "B2": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI", "B3": "EthicAI — Tracking AI incidents: OECD AIM and AIAAIC Repository - EthicAI", "B4": "AIAAIC — About AIAAIC", "B5": "AIAAIC (Substack) — About - AIAAIC", "B6": "AIAAIC — Google AI Overviews give wrong, dangerous answers", "B7": "Wikipedia — AIAAIC (redirect)", "B8": "Wikipedia — Ethics of artificial intelligence" }, "delta": { "T_vs_LB": "At 'aiaaic repository' (T1, three cards: B1–B3) the composition gives the repository by its catalogue entry and its cards. Composed from its cards: the definition at the card's grain, 'independent, open-access' (the OECD card's snippet, F19; the catalogue page reads 'independent, open', F11; the repository's own 'independent, grassroots' F1 kept as 'independent'), 'incidents, controversies, and harms' (F1, F11 'incidents and controversies'; 'harms' at the grain of the repository card's 'harms', F9, and EthicAI's, F22), 'database' (the OECD's tag 'incident database', F17); the start, June 2019 (F12), as 'a private initiative' (EthicAI's phrase, F21; the catalogue's is 'a private, professional project', F12); the licence, CC BY-SA 4.0 with 'Free and open-source' (the catalogue's usage rights, F15; the repository's own page, F2); the users (F13). Substituted reading: the start's purpose, in both cards 'to better understand the reputational risks of artificial intelligence' (F12, F21), is composed as 'to monitor transparency and accountability'; the nearest words in the field are the operator's mission ('transparent, open and accountable', F34, an own page T did not surface), the OECD's tag 'transparency' (F17) and EthicAI's 'fostering transparency' (outside the ledgered spans). Composed at a coarser grain: the users lose academics, teachers and industry experts and gain 'civil society groups' for the catalogue's 'NGS' (F13); independence 'of government and industry' (F13) composes as 'independent'. Scope (T1-3): 'autonomous vehicle crashes' and 'generative AI copyright' are the repository card's (F9), 'workplace automation accidents' its 'robotic workplace fatalities and malfunctions' at a coarser grain; discrimination, privacy, deepfakes and chatbot hallucinations are at the grain of EthicAI's categories and the repository's entry titles, outside the ledgered spans. Limit dropped: the catalogue's description is composed as fact, its disclaimer that its tools are the originating authors' and 'not vetted or endorsed by the OECD' (F18) not composed; EthicAI's limits of the trackers (underreporting, verification, coverage gaps, F30) not composed. Available, not composed: the operator, AIAAIC, named on the OECD card as developing organisation (F14) (CAP-1-05); the evolution into an initiative that 'collects, dissects, examines, and divulges' (F12); EthicAI's collective memory (F22), its metadata (F23), its taxonomy (F24), its comparison with the OECD monitor (F25–F28), its definition of an AI incident (F29) and its under-the-radar finding (F31); the catalogue's upload date (F10) and 'Always up to date' (F20); the repository page's collections (F5), numbering (F4), intake (F3), taxonomies (F6), AI ethics glossary (F7), and Google AI Overviews among the systems it records (F8). Content replaced by use: the closer (T1-6) offers 'the taxonomy used to classify these events', which the field states (F6, F24) and T does not. Not surfaced by T: the about page (B4: the operator and who runs it, F32–F37), the newsletter's page (B5: F38–F40, the Pownall byline), the entry page (B6: the per-entry fields, F41–F49) and Wikipedia (B7–B8: F50–F52); these are own pages and the encyclopedia admitted beside the cards by the operator's ruling.", "T_vs_LB_reading": "v0.9 §0.5: the first diff is already ontological, and here it is small. The field's ontology and T's agree on the entity (an independent repository of AI, algorithmic and automation incidents and controversies); what T keeps of its cards is the catalogue's description, start, licence and users, and what it drops is the operator, the catalogue's own limit, EthicAI's limits and the start's stated purpose, which it replaces. The composition stays at the grain of the third-party catalogue (CAP-1-04). The row records this as observed and claims nothing about the composer's internals (§0.5).", "LB_vs_LBA": "Admission adds, in one claim space with the field's: the selection read as wider than harm, a controversy entering as a controversy and admission not requiring harm, three kinds of system in the name (MMRS-06, MMRS-07, MMRS-19, MMRS-08), held beside EthicAI's harm framing (F22) and the repository card's 'harms' (F9), with the entry typed 'Issue' (F47) in the field; the record kept apart from the entity, each assertion with a source and a basis, the lifecycle apart from the observation (MMRS-27, MMRS-26, MMRS-28), and its unchecked items (MMRS-10, MMRS-23–25), which the own pages read for this row answer in part: who runs it, 'a diverse set of individuals', no person named (F33; the Team page not read), the per-entry fields (F45–F48), intake open to anyone (F3, F49, F26), the count bounded by AIAAIC2276 (F4); the place in the harm basin, the oldest of three repositories, typed neighbours of the AI Incident Database and the OECD monitor, the AIID's record's disambiguation and battery (MMRS-09, MMRS-20, MMRS-21, MMRS-29–31), beside EthicAI's comparison with the OECD monitor (F25–F28); the newsletter's writer from the Substack metadata (MMRS-05, MMRS-18, F40), and the newsletter read by the record as having the repository for its subject (MMRS-02 beside F38); the composition layer's observation at the name (CAP-1-01–05), CAP-1-01 marked contradicts_primary (F12, F21); and the archive's address of three of its terms to the AIAAIC as a glossary venue (#543, R543-01), the repository keeping an AI ethics glossary (F7). Coherence (P_coh, composed each with its source): F22 and F9 beside MMRS-06, MMRS-07, MMRS-19; F11 against F19; F38 beside MMRS-02; CAP-1-01 against F12, F21. Restated lineages (§3.6, the own page keeping the earlier date where it is the source): MMRS-01, MMRS-14 with F1; MMRS-03, MMRS-16 with F11; MMRS-04, MMRS-15 with F12; MMRS-12 with F14, F32; MMRS-17 with F2, F15; MMRS-05, MMRS-18 with F39, F40; MMRS-13 with F17. The measure is in row.measure.", "alignment": { "T1_cards_claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F14", "F15", "F16", "F17", "F18", "F19", "F20", "F21", "F22", "F23", "F24", "F25", "F26", "F27", "F28", "F29", "F30", "F31" ], "T1_composed": [ "F1", "F2", "F9", "F11", "F12", "F13", "F15", "F17", "F19", "F21" ], "rule": "a field claim counts as composed when T states it at its source's grain or coarser; the typology of what is not is in T_vs_LB (§6.2)" } }, "kernel": [ { "K": "K1", "claim": "`MMRS-01`", "source": "MMRS record", "M_src": "stipulation", "sense": "what it is: incidents and controversies", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F1, F11; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K2", "claim": "`MMRS-13`", "source": "MMRS record", "M_src": "stipulation", "sense": "class: an incident database", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F17; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K3", "claim": "`MMRS-14`", "source": "MMRS record", "M_src": "stipulation", "sense": "what it is: incidents and controversies", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F1; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K4", "claim": "`MMRS-03`", "source": "MMRS record", "M_src": "attributed", "sense": "what it is: incidents and controversies", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F11, F12; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K5", "claim": "`MMRS-16`", "source": "MMRS record", "M_src": "attributed", "sense": "what it is: incidents and controversies", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F11; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K6", "claim": "`MMRS-06`", "source": "MMRS record", "M_src": "interpretation", "sense": "what its selection admits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F22, F9: harm as the frame)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K7", "claim": "`MMRS-07`", "source": "MMRS record", "M_src": "interpretation", "sense": "what its selection admits", "qualifiers carried": "MMRS-06", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F22, F9)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K8", "claim": "`MMRS-19`", "source": "MMRS record", "M_src": "interpretation", "sense": "what its selection admits", "qualifiers carried": "MMRS-06", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F22, F9)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K9", "claim": "`MMRS-08`", "source": "MMRS record", "M_src": "interpretation", "sense": "what its selection admits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K10", "claim": "`MMRS-12`", "source": "MMRS record", "M_src": "attributed", "sense": "operator: AIAAIC", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F14, F32; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K11", "claim": "`MMRS-11`", "source": "MMRS record", "M_src": "documented", "sense": "operator: AIAAIC", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (the field has no claim on the point)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K12", "claim": "`MMRS-23`", "source": "MMRS record", "M_src": "self-description", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F33, F40)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K13", "claim": "`MMRS-04`", "source": "MMRS record", "M_src": "attributed", "sense": "origin: June 2019, a private project", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F12; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K14", "claim": "`MMRS-15`", "source": "MMRS record", "M_src": "attributed", "sense": "origin: June 2019, a private project", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F12; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K15", "claim": "`MMRS-24`", "source": "MMRS record", "M_src": "self-description", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F45–F48)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K16", "claim": "`MMRS-25`", "source": "MMRS record", "M_src": "self-description", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F3, F49, F26, F4)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K17", "claim": "`MMRS-17`", "source": "MMRS record", "M_src": "attributed", "sense": "openness: the licence", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F2, F15; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K18", "claim": "`MMRS-10`", "source": "MMRS record", "M_src": "self-description", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F3, F4, F45: intake, count and entry fields on the own pages)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K19", "claim": "`MMRS-28`", "source": "MMRS record", "M_src": "documented", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K20", "claim": "`MMRS-26`", "source": "MMRS record", "M_src": "documented", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K21", "claim": "`MMRS-27`", "source": "MMRS record", "M_src": "stipulation", "sense": "the record kept apart from the entity", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K22", "claim": "`MMRS-09`", "source": "MMRS record", "M_src": "interpretation", "sense": "neighbours: the OECD monitor", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K23", "claim": "`MMRS-21`", "source": "MMRS record", "M_src": "stipulation", "sense": "neighbours: the OECD monitor", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F25–F28: EthicAI's comparison with the OECD monitor)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K24", "claim": "`MMRS-20`", "source": "MMRS record", "M_src": "stipulation", "sense": "class: an incident database", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K25", "claim": "`MMRS-29`", "source": "MMRS record", "M_src": "interpretation", "sense": "neighbours: the OECD monitor", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F25–F28)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K26", "claim": "`MMRS-30`", "source": "MMRS record", "M_src": "stipulation", "sense": "what its selection admits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K27", "claim": "`MMRS-31`", "source": "MMRS record", "M_src": "stipulation", "sense": "neighbours: the OECD monitor", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K28", "claim": "`MMRS-05`", "source": "MMRS record", "M_src": "attributed", "sense": "newsletter: AIAAIC Alert", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F39, F40; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K29", "claim": "`MMRS-18`", "source": "MMRS record", "M_src": "attributed", "sense": "newsletter: AIAAIC Alert", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (one lineage with F40; the field source keeps the earlier date)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K30", "claim": "`MMRS-02`", "source": "MMRS record", "M_src": "attributed", "sense": "origin: June 2019, a private project", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim (F38: the newsletter details incidents and controversies)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K31", "claim": "`R543-01`", "source": "#543", "M_src": "stipulation", "sense": "relation: the archive's terms addressed to it", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing relation (F7: the repository keeps an AI ethics glossary)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K32", "claim": "`MMRS-22`", "source": "MMRS record", "M_src": "documented", "sense": "reception: the composition layer", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K33", "claim": "`CAP-1-01`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "reception: the composition layer", "qualifiers carried": "marked contradicts_primary (F12)", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "rival claim (F12, F21: the catalogue's 'a private, professional project' and EthicAI's 'a private initiative'; marked contradicts_primary)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K34", "claim": "`CAP-1-02`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "reception: the composition layer", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing finding (an observation of the composition at the entity's address)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K35", "claim": "`CAP-1-04`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "reception: the composition layer", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing finding (an observation of the composition at the entity's address)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K36", "claim": "`CAP-1-05`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "reception: the composition layer", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing finding (an observation of the composition at the entity's address)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K37", "claim": "`CAP-1-03`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "reception: the composition layer", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing finding (an observation of the composition at the entity's address)", "resolver": "a later capture at 'aiaaic repository' (ADDR-7feca6ebbaff) on Google AI Overview, seated in the Capture Registry (§8.3)" } ], "kernel_T": [ { "claim": "F12", "note": "the start's purpose, 'to better understand the reputational risks of artificial intelligence' (substituted at T1-2)" }, { "claim": "F14", "note": "the operator, AIAAIC, as developing organisation (not composed)" }, { "claim": "F18", "note": "the catalogue's disclaimer: not vetted or endorsed by the OECD (limit dropped)" }, { "claim": "F30", "note": "EthicAI's limits of the trackers (not composed)" }, { "claim": "F26", "note": "open submissions from a broader set of contributors (not composed)" }, { "claim": "F25", "note": "grassroots and community-driven, against the OECD monitor (not composed)" }, { "claim": "F23", "note": "the entry metadata, searchable by attribute (not composed)" }, { "claim": "F24", "note": "the taxonomy of incident types and causes (replaced by use in the closer)" }, { "claim": "F8", "note": "Google AI Overviews among the systems the repository records (not composed)" }, { "claim": "F4", "note": "the entries numbered, the highest AIAAIC2276 (not composed)" }, { "claim": "F3", "note": "anyone may submit an incident or controversy (not composed)" } ], "ledger": { "archive": "datasets/negative-of-the-negative/v2/ledgers/aiaaic-repository/ledger-archive.json", "field": "datasets/negative-of-the-negative/v2/ledgers/aiaaic-repository/field.json", "selection": "datasets/negative-of-the-negative/v2/traversal/aiaaic-repository/", "config": "datasets/negative-of-the-negative/v2/panel/configs/aiaaic-repository.json", "intake": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/", "audit": null }, "ontology": { "composition": "equal", "composition_note": "equal-terms case, ρ = extends: one claim space, nothing translated; the field and the archive ordered together by sense and genealogy", "case": { "value": "equal", "statement": "The MMRS record holds the field's entity as the entity: it describes the AIAAIC Repository from the repository's own page, the OECD's catalogue and the newsletter's about page, marking each field's basis (operator, third-party, reading), and composes nothing that denies a field presupposition. What it adds is on the field's object: what the selection admits (a unit wider than harm, controversies entering as controversies, three kinds of system), the record kept apart from the entity with its own unchecked items, the place in the harm basin beside the AI Incident Database and the OECD monitor; and the Capture Registry adds the composition layer's account at the name, found to share the record's source and to name no person. The ontology the archive uses is available in the field itself: the repository's own page and the catalogue give 'incidents and controversies' (F1, F11), and the entry on Google AI Overviews is typed 'Issue' (F47); the record's reading extends those to the admission rule, against EthicAI's harm framing (F22), composed under P_coh in one claim space. The law of the suppressed witness does not apply (§0.10: not where the field holds the ontology). Not mixed.", "loci": [ { "dep": "MMRS", "locus": "article, kernel s1 (articles.py ARTICLES['aiaaic-repository'])", "quote": "The AIAAIC Repository records incidents and controversies driven by AI, algorithmic and automation systems." }, { "dep": "MMRS", "locus": "article, What its selection admits s1–s2", "quote": "Its unit is wider than harm. A controversy enters as a controversy, so public dispute about a system is recorded alongside events in which a system caused damage." }, { "dep": "MMRS", "locus": "census.json, schema_note", "quote": "each page has two nodes, the MMRS record and the entity it describes; relations are typed; each assertion carries a source and a basis (operator statement, third-party report, our observation, our reading); lifecycle is kept apart from the observation that saw it" }, { "dep": "MMRS", "locus": "article, Place in the field s2", "quote": "Its entry pages, intake process and current count were not read for this record." }, { "dep": "capture", "locus": "aiaaic-repository-aio-20261029, analysis s1", "quote": "Composition and record were built from the same third-party catalogue and agree." }, { "dep": "B1", "locus": "page body, header (field)", "quote": "The independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation." } ] }, "E_F": { "type": "C (public entity: a database)", "definition": "an independent, grassroots, public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms and automation (its own page; the OECD catalogue's 'resource' detailing incidents and controversies), kept by AIAAIC, a non-partisan grassroots initiative of individuals funded by donations; started in June 2019 as a private, professional project on AI's reputational risks; its collections incidents, systems and datasets, its entries numbered and classified by five taxonomies, open to anyone's report, its content CC BY-SA 4.0; with a weekly newsletter, AIAAIC Alert; Wikipedia's title for it a redirect to a section that does not exist (B1–B8)", "claims": [ "F1", "F11", "F32", "F33", "F12", "F5", "F6", "F3", "F2", "F38", "F50", "F52" ] }, "E_A": { "definition": "the same repository, in the MMRS meta-aggregator's record: a database of incidents and controversies driven by AI, algorithmic and automation systems, its unit the incident or controversy involving such a system, operated by AIAAIC, begun June 2019 as a private, professional project, CC BY-SA 4.0; a selection wider than harm, in which a controversy enters as a controversy and admission does not require harm; the oldest of the census's three harm repositories, beside the AI Incident Database and the OECD monitor; its record kept apart from it, with who runs it, its entry fields, intake and count left unchecked; observed by the Capture Registry at its name, where the composition layer shared the record's third-party source, agreed with it, and named no person", "claims": [ "MMRS-01", "MMRS-14", "MMRS-12", "MMRS-15", "MMRS-17", "MMRS-06", "MMRS-07", "MMRS-19", "MMRS-09", "MMRS-27", "MMRS-23", "CAP-1-04", "CAP-1-03" ], "defining_papers": [ 543 ], "defining_records": [ "MMRS record (census.json rows[slug == 'aiaaic-repository'], articles.py ARTICLES['aiaaic-repository'], rendered aggregators/aiaaic-repository/index.html)", "MMRS record of the neighbour ai-incident-database (articles.py 'Place in the field' s2; census disambiguation and battery), for its relations to this entity", "Capture Registry aiaaic-repository-aio-20261029 (OBS-524198c4efed)" ], "note": "One deposit names the entity (#543, at R: a venue for three of the archive's terms); it does not define the archive's entity. The defining material is the archive's two records, which are not deposits." }, "rho": { "value": "extends", "status": "read from the MMRS record and the capture record (§1.2a); no deposit defines the archive's entity, the archive's only deposit naming it (#543) addresses three of its terms to it", "statement": "the archive reads E_F as the entity and adds senses and limits on the field's own object: what the selection admits (a unit wider than harm; controversies entering as controversies; three kinds of system), the record kept apart from the entity with its unchecked items, the entity's place in the harm basin and its neighbours, the newsletter's writer, and the composition layer's observed treatment of the entity", "claims": [ "MMRS-06", "MMRS-07", "MMRS-19", "MMRS-08", "MMRS-27", "MMRS-10", "MMRS-23", "MMRS-09", "MMRS-21", "MMRS-18", "CAP-1-04", "CAP-1-03" ], "guard": "ρ = extends claims an addition and no more: MMRS-06, MMRS-07 and MMRS-19 are the record's readings (basis 'reading'), not findings on the repository's stated criteria, which the record did not read (MMRS-10); MMRS-23–25 are limits of the record, not claims that the repository lacks an operator or a count; where an archive claim meets a field claim (MMRS-19 beside F22; MMRS-02 beside F38; CAP-1-01 against F12) both are composed under P_coh in the one claim space", "considered": [ { "value": "constructs", "set_aside": "the archive does not read the repository as made by its receiving texts" }, { "value": "revises", "set_aside": "the entity is not the archive's own" }, { "value": "witness (suppressed witness)", "set_aside": "the field holds the ontology (§0.10)" } ] }, "translation": [ { "lineage": "what it is: incidents and controversies", "field_claims": [ "F1", "F9", "F11", "F19", "F22" ], "received": "F1 (B1, page body, header): \"The independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation.\"; F9 (B1, card snippet (not in the saved page text)): \"Incidents: AI and algorithmic automation harms (autonomous vehicle crashes, robotic workplace fatalities and malfunctions, generative AI copyright and training ...\"; F11 (B2, catalogue entry, description ¶1): \"An independent, open, public interest resource, the AIAAIC Repository details incidents and controversies driven by and relating to artificial intelligence, algorithms, and automation.\"; F19 (B2, card snippet (its wording not in the saved page text)): \"Overview: AIAAIC Repository is an independent, open-access, public interest resource detailing AI, algorithmic, and automation incidents and controversies, star...\"; F22 (B3, Mission ¶1, s2–3): \"Its foundational goal is to support a robust ecosystem of AI accountability by systematically documenting incidents where AI systems cause or contribute to harms. The AIAAIC is meant to serve as a collective memory for the AI field.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-01, MMRS-03, MMRS-14, MMRS-16, MMRS-13", "archive_claims": [ "MMRS-01", "MMRS-03", "MMRS-14", "MMRS-16", "MMRS-13" ] }, { "lineage": "openness: the licence", "field_claims": [ "F2", "F15" ], "received": "F2 (B1, page footer): \"AIAAIC content is available to use, copy, adapt, and redistribute under a CC BY-SA 4.0 licence.\"; F15 (B2, About the tool: usage rights, licence): \"Usage rights: … Open source/Permissive … Creative commons … Free of charge … License: … Creative Commons Attribution Share Alike 4.0 International\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-17", "archive_claims": [ "MMRS-17" ] }, { "lineage": "intake: open submission", "field_claims": [ "F3", "F26", "F49" ], "received": "F3 (B1, page body, header buttons; navigation): \"REPORT INCIDENT🔥 … ACCESS DATABASE 🔢 … Submit incident/controversy\"; F26 (B3, Comparing the AIM and AIAAIC: scope and submission model): \"Scope and submission model: AIM uses a curated approach with controlled input channels; AIAAIC allows more open submissions from a broader set of contributors.\"; F49 (B6, entry header links): \"Report incident 🔥 | Improve page 💁 | Access database 🔢\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-25", "archive_claims": [ "MMRS-25" ] }, { "lineage": "the record: entries, systems, datasets", "field_claims": [ "F4", "F5", "F23" ], "received": "F4 (B1, 'Latest entries (2026)', first item (the highest number on the page, 2026-10-29)): \"AIAAIC2276: Otter AI accused of secretly recording private work conversations\"; F5 (B1, navigation: the three collections): \"AI, algorithmic, and automation incidents … AI, algorithmic, and automation systems … AI, algorithmic, and automation datasets\"; F23 (B3, Structure and usage): \"The AIAAIC Repository entries include detailed metadata such as: … Incident dates … Locations … System developers … Types of AI technologies involved … Types of harms reported\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "classification: the taxonomies", "field_claims": [ "F6", "F24" ], "received": "F6 (B1, page body, 'About the AIAAIC Repository'): \"Classifications and definitions 🏛️ … Ethical issue taxonomy … External harm taxonomy … Consequence taxonomy … News trigger taxonomy … Response taxonomy\"; F24 (B3, Structure and usage, after the list): \"The database supports search and filtering by these attributes, allowing researchers to identify patterns over time or across geographies. It also includes a taxonomy of incident types and causes that continues to evolve as more data is collected.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "resources: the AI ethics glossary", "field_claims": [ "F7" ], "received": "F7 (B1, navigation: Resources): \"Resources … AI and algorithmic repositories, registers, databases … AI ethics glossary\"", "receiving_text": "—", "translation": "untranslated: composed as received beside R543-01", "archive_claims": [ "R543-01" ] }, { "lineage": "the index case: Google AI Overviews", "field_claims": [ "F8", "F41", "F42", "F43", "F44" ], "received": "F8 (B1, page body, 'Systems' and 'Latest entries (2026)'): \"Google AI Overviews … AIAAIC2256: Google AI summaries give cancer patients wrong advice\"; F41 (B6, entry heading and date): \"Google AI Overviews tell users to add glue to pizzas … Occurred: May 2024\"; F42 (B6, entry body ¶1): \"Google’s “AI Overviews” feature was criticised for providing factually inaccurate, misleading and nonsensical answers, leading to questions about its reliability and potential to spout misinformation and perpetuate bias.\"; F43 (B6, entry body ¶3): \"In one instance, users reported that AI Overviews suggested using \"non-toxic glue\" to stop cheese sliding off pizza, which was traced back to a troll post. It also recommended people consume rocks, based on a satirical article from The Onion\"; F44 (B6, entry body ¶5): \"After a public backlash, Google said it would refine AI Overviews by limiting which queries generate AI summaries\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "reception: the catalogues", "field_claims": [ "F10", "F20" ], "received": "F10 (B2, entry header): \"Uploaded on Jun 8, 2023\"; F20 (B2, About the tool: maturity, validity): \"Maturity: … Published document … Validity: … Always up to date\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-03, MMRS-16", "archive_claims": [ "MMRS-03", "MMRS-16" ] }, { "lineage": "origin: June 2019, a private project", "field_claims": [ "F12", "F21" ], "received": "F12 (B2, catalogue entry, description ¶2): \"Started in June 2019 as a private, professional project to better understand the reputational risks of artificial intelligence, the AIAAIC Repository has evolved into an open, public interest initiative that collects, dissects, examines, and divulges a broad range of incidents and issues posed by AI, algorithmic, and automation systems.\"; F21 (B3, The AIAAIC Repository (AIAAIC) / Mission ¶1, s1): \"The AIAAIC is an independent resource, launched as a private initiative in 2019 to better understand to better understand the reputational risks of artificial intelligence, the AIAAIC Repository has now evolved into an open source, public interest initiative.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-02, MMRS-04, MMRS-15, MMRS-22, CAP-1-01, CAP-1-02", "archive_claims": [ "MMRS-02", "MMRS-04", "MMRS-15", "MMRS-22", "CAP-1-01", "CAP-1-02" ] }, { "lineage": "use: who reads it", "field_claims": [ "F13" ], "received": "F13 (B2, catalogue entry, description ¶3): \"The repository is independent of government and industry, and is used by researchers, academics, teachers, NGS, journalists, policymakers, and industry experts across the world looking to better understand the nature, risks, and impacts of AI, algorithms, and automation.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "operator: AIAAIC", "field_claims": [ "F14", "F32", "F33", "F36" ], "received": "F14 (B2, About the tool: developing organisation): \"Developing organisation(s): … aiaaic\"; F32 (B4, About AIAAIC ¶1): \"AIAAIC (standing for \"AI, Algorithmic and Automation Incidents and Controversies\") is an independent, politically and technologically non-partisan grassroots public interest initiative that examines and makes the case for real AI, algorithmic and automation transparency, openness and accountability.\"; F33 (B4, Who we are): \"AIAAIC comprises a diverse set of individuals across the world passionate about advancing the cause of the transparency, openness and accountability of AI, algorithmic and automation systems.\"; F36 (B4, How we are funded): \"AIAAIC is funded by donations provided by individuals across the world. … we take seriously actual or potential conflicts of interest, and do not accept funding or in-kind donations from commercial entities.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-11, MMRS-12, MMRS-23", "archive_claims": [ "MMRS-11", "MMRS-12", "MMRS-23" ] }, { "lineage": "class: an incident database", "field_claims": [ "F16", "F17", "F29", "F31" ], "received": "F16 (B2, About the tool: tool types): \"Tool type(s): … Risk management framework … Awareness building … Education & training\"; F17 (B2, About the tool: tags): \"Tags: … incident database … transparency … ai risk management\"; F29 (B3, opening ¶2): \"An AI incident can be broadly defined as any situation where an AI system causes, contributes to, or is associated with an outcome that negatively impacts individuals, groups, systems, or the environment.\"; F31 (B3, opening ¶3): \"Though still relatively under-the-radar outside specialist circles, these initiatives are critical tools in the global conversation around AI risk, accountability and trustworthiness.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-13, MMRS-20", "archive_claims": [ "MMRS-13", "MMRS-20" ] }, { "lineage": "limits", "field_claims": [ "F18", "F30" ], "received": "F18 (B2, page foot: disclaimer): \"Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries.\"; F30 (B3, Challenges and criticisms): \"Underreporting: Many incidents go unreported due to proprietary constraints, lack of media coverage, or fear of reputational damage. … Verification: Ensuring that submitted incidents are accurate, well-documented and contextualised is a non-trivial task. … Bias and coverage gaps: Certain regions, sectors or populations may be underrepresented.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "neighbours: the OECD monitor", "field_claims": [ "F25", "F27", "F28" ], "received": "F25 (B3, Comparing the AIM and AIAAIC: institutional grounding): \"Institutional grounding: The OECD AIM has formal international backing and is integrated with broader governance frameworks. AIAAIC is grassroots and community-driven.\"; F27 (B3, Comparing the AIM and AIAAIC: focus): \"Focus: AIM leans towards policy-relevant cases that align with governance interests. AIAAIC includes a wider array of incidents, from technical failures to social impacts.\"; F28 (B3, Comparing the AIM and AIAAIC, close): \"The initiatives are complementary, not competitive.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-09, MMRS-21, MMRS-29, MMRS-31", "archive_claims": [ "MMRS-09", "MMRS-21", "MMRS-29", "MMRS-31" ] }, { "lineage": "mission: transparency, openness, accountability", "field_claims": [ "F34", "F35", "F37" ], "received": "F34 (B4, What we believe ¶2): \"AIAAIC's mission is to make AI, algorithmic and automation systems transparent, open and accountable.\"; F35 (B4, What we do): \"Empowering academic and civil society entities with high quality, actionable data … Educating users, citizens, policymakers and others … Making the case to policymakers and businesses.\"; F37 (B4, What we believe ¶1): \"AIAAIC believes that everyone should know when they are using or being assessed, instructed, nudged, coerced or manipulated by an AI, algorithmic or automation system\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "newsletter: AIAAIC Alert", "field_claims": [ "F38", "F39", "F40" ], "received": "F38 (B5, About ¶1): \"AIAAIC's weekly Alert newsletter details latest incidents and controversies driven by AI, algorithmic and automation systems, and explores latest developments in transparency and accountability.\"; F39 (B5, About ¶2): \"It is read by people in government, civil society, academia and business in 92 countries.\"; F40 (B5, meta description and author tag (Substack page metadata)): \"Click to read AIAAIC, by Charlie Pownall, a Substack publication with thousands of subscribers. … [meta author] Charlie Pownall\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-05, MMRS-18, MMRS-02", "archive_claims": [ "MMRS-05", "MMRS-18", "MMRS-02" ] }, { "lineage": "the record: the entry page", "field_claims": [ "F45", "F46", "F47", "F48" ], "received": "F45 (B6, entry fields): \"Operator: Google users … Developer: Google … Country: USA … Sector: Multiple … Purpose: Generate search results … Technology: Generative AI; Machine learning … Issue: Accuracy/reliability; Bias/discrimination; Mis/disinformation\"; F46 (B6, entry: System, Documents, News sources): \"System 🤖 … Google AI Overviews … Documents 📃 … Google. AI Overviews: About last week … News, commentary, analysis 🗞️ … https://www.theverge.com/2024/5/23/24162896/google-ai-overview-hallucinations-glue-in-pizza\"; F47 (B6, entry: Page info): \"Page info … Type: Issue … Published: May 2024 … Last updated: June 2024\"; F48 (B6, entry: glossary block): \"In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, confabulation or delusion) is a response generated by AI that contains false or misleading information presented as fact. … Source: Wikipedia 🔗\"", "receiving_text": "—", "translation": "untranslated: composed as received beside MMRS-24", "archive_claims": [ "MMRS-24" ] }, { "lineage": "reception: the encyclopedia", "field_claims": [ "F50", "F51", "F52" ], "received": "F50 (B7, raw wikitext of the redirect page (action=raw&redirect=no)): \"#REDIRECT [[Ethics_of_artificial_intelligence#AI, Algorithmic, and Automation Incidents and Controversies]]\"; F51 (B7, page history (action=history), the one revision): \"08:11, 15 September 2025 Silvers Rayleigh talk contribs 107 bytes +107 ←Redirected page to Ethics of artificial intelligence#AI, Algorithmic, and Automation Incidents and Controversies Tag: New redirect\"; F52 (B8, lead, s1 (rendered page); the section named by the redirect absent): \"The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] } ], "receiving_texts": "equal-terms case: every field claim composed as received, beside the archive claims it stands with" }, "measure": { "rule": "v0.9 §4.10: KO_B sentences surviving in the KO at similarity ≥ 0.95, with positions (computed as apply_v09.py does: difflib.SequenceMatcher ratio, the best KO sentence for each KO_B sentence)", "v0.9": { "surviving": 0, "of": 10, "positions": [ null, null, null, null, null, null, null, null, null, null ] }, "opening_run": { "rule": "v0.9 §5.10 (equal-terms case): the field-only KO's sentences as the KO's opening run in their own order", "breach": false }, "blocks": { "rule": "v0.9 §4.1 (equal-terms and mixed cases): the KO does not open with the field as a block or close with the archive as one; sentences typed by the ledgers of the claims they cite (F field-only, A archive-only, M both)", "sequence": "MMAMMFMFFMFMMFFAMFAMMFFMA", "field_only_head": 0, "archive_only_tail": 1, "breach": false }, "max_similarity": [ 0.207, 0.37, 0.276, 0.649, 0.149, 0.199, 0.303, 0.376, 0.246, 0.203 ], "ko_sentence_1_max_similarity_to_KO_B": 0.194 }, "homonyms": { "names": [], "basis": "No homonym on the rail: every card is on the AIAAIC Repository. The MMRS record for this entity has no disambiguation field; the AI Incident Database's record disambiguates the AIAAIC from the AIID by 'AIAAIC, controversies, algorithmic and automation' (MMRS-30). Distinct entities kept as relations, never senses of the name: AIAAIC, the initiative that keeps the repository (its operator; the acronym is both the organisation's name and the repository's prefix); AIAAIC Alert, its newsletter; the neighbours in the harm basin, the AI Incident Database and the OECD AI Incidents and Hazards Monitor.", "distinct_entities": [ "AIAAIC (the initiative, operator)", "AIAAIC Alert (newsletter)", "ai-incident-database", "oecd-ai-incidents-monitor" ], "substitutes": { "T": [] }, "register": { "address_1": { "slug": "aiaaic-repository-aio-20261029", "obs_id": "OBS-524198c4efed" } } }, "notes": [ "One address, Google AI Overview (expanded), signed out, incognito, 2026-10-29: aiaaic-repository-aio-20261029 (OBS-524198c4efed, ADDR-7feca6ebbaff, AXN:0AA8.CAPTURE.🔓🔀◇🎬🟠🔛, three cards).", "Wikipedia: no article: 'AIAAIC' is a redirect (raw wikitext '#REDIRECT [[Ethics_of_artificial_intelligence#AI, Algorithmic, and Automation Incidents and Controversies]]', no redirect categories; created 15 September 2025, one revision); the title 'AI, Algorithmic, and Automation Incidents and Controversies' is the same redirect; 'AIAAIC Repository' has no page (HTTP 404). The target article, Ethics of artificial intelligence, has no section of that name as fetched on 2026-10-29 and names neither AIAAIC nor its expansion: the redirect lands at the article's head. The encyclopedia holds the entity only as a title pointing at an absent section. Two API reads (search for 'AIAAIC'; the redirect's revisions) and one read of the target's history were refused with HTTP 429 and not retried further; the redirect's one-revision history was read from its rendered history page.", "Fetching: every page saved verbatim with curl on 2026-10-29 between 05:06 and 05:11 UTC, raw and text with sha256 in field.json. The text pass writes the page's description, author, og:title, og:description and article time meta tags above the page text, marked '[meta …]', so that page metadata quoted in the ledger (the Substack byline, F40) is in the saved text. Card URLs: B1 and B2 are the MMRS record's sources and match the card titles (B1 by og:title, B2 by title); B3 was found by WebSearch through its syndicated copy at verifywise.ai, which links ethicai.net/ai-incidents; its og:title is the card's title and its date the card's. Nothing was unreachable.", "Own pages: B1 (the repository page) is also a card and is carried once, as a card; B4 (about AIAAIC) was named by the task and is not among the MMRS record's sources; B5 (the newsletter's about page) is the record's source for its author; B6 is one entry page, chosen as the entry on Google AI Overviews' launch errors. B4–B6 were not surfaced by T and are admitted beside the cards by the operator's ruling.", "The census's unchecked items, read here: who runs the repository — the about page names no person and says AIAAIC 'comprises a diverse set of individuals across the world' (F33); it links a Team page (/about-aiaaic/team), not read, since the task named the about page; the only person on the read pages is Charlie Pownall, in the Substack page's metadata (F40). Per-entry fields — operator, developer, country, sector, purpose, technology, issue, system, documents, news sources, a Wikipedia gloss, and a page type with published and updated months (F45–F48); the entry carries no AIAAIC number, and its operator field names the deployer's users ('Google users'), Google the developer. Intake — 'REPORT INCIDENT', 'Submit incident/controversy' and per-entry 'Improve page' (F3, F49). Count — the highest number listed is AIAAIC2276 (F4), an upper bound.", "The archive's deposits name the AIAAIC once: #543 (Hexagonal Lexical Engine, 10 March 2026), 'AI Ethics glossaries (AIAAIC, AI Incident DB)' as a venue for three of the archive's terms (R543-01, stratum R), the same row the ai-incident-database row admitted; the repository does keep an AI ethics glossary (F7). The hop from #543 (41 candidates) and the class term matched nothing further. The archive's bearing is carried by its own records: the MMRS record (MMRS-01–31, MMRS-29–31 from the AI Incident Database's record) and the capture (CAP-1-01–05).", "Defects found, reported and not fixed. (1) Capture finding CAP-1-01 attributes 'a private initiative' to the OECD catalogue; the catalogue's words are 'Started in June 2019 as a private, professional project' (F12); 'a private initiative' is EthicAI's (F21) and the Overview's launch sentence carries a marker of its own beside the one it shares with the definition (contradicts_primary, carried as marked). (2) MMRS census 'self_description' takes the OECD catalogue's wording (basis third-party) and the rendered record shows it under 'In its own words'; the repository's own page words itself 'The independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation' (F1). (3) MMRS article kernel: 'the subject of the AIAAIC Alert newsletter'; the newsletter's about page says it 'details latest incidents and controversies driven by AI, algorithmic and automation systems' (F38), AIAAIC's newsletter, without giving the repository as its subject. (4) MMRS census 'note' (basis operator) and article: 'written by Charlie Pownall'; the name is in the Substack page's metadata only ('by Charlie Pownall', author tag), not in the page body (B5). (5) MMRS article 'oldest of the three harm repositories': the census row for the OECD monitor has no founded value to compare. (6) The census row for this entity carries no disambiguation, negative_tags or battery fields (the brief's list), while the AI Incident Database's row carries a battery check naming the AIAAIC (MMRS-31). (7) MMRS census 'aka' gives the expansion as the repository's other name with serial commas; the about page gives it as the organisation's name, 'AI, Algorithmic and Automation Incidents and Controversies' (F32).", "Field discrepancies, carried: the OECD catalogue page reads 'An independent, open, public interest resource', its card on the rail 'independent, open-access' (F11, F19; open block); the repository card's snippet ('Incidents: AI and algorithmic automation harms …') is not on the saved page (F9); EthicAI's sentence repeats 'to better understand' as published (F21); the catalogue writes 'NGS' for NGOs (F13).", "Not composed into the row, for the operator: the repository page lists 'Google AI Overviews' among the systems it records and AIAAIC2256 'Google AI summaries give cancer patients wrong advice' (F8); the composition layer is itself an object of the repository it summarized at this address, which T does not compose.", "The case and ρ (decided): equal, ρ = extends; the MMRS record describes the repository from its own page and its catalogue entry, with a basis per field, and adds senses and limits on the field's object; the field holds the ontology, so the suppressed witness does not apply. No deposit defines the archive's entity; the defining material is the MMRS record and the capture record.", "Opening-run check (§5.10): KO sentence 1 is new (max similarity to any KO_B sentence 0.194); no KO_B sentence survives at ≥ 0.95 (highest 0.649); sentence types MMAMMFMFFMFMMFFAMFAMMFFMA (field-only head 0, archive-only tail 1)." ], "composition_v09": { "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/aiaaic-repository.json)", "composer": "Claude (Opus 5.5), subagent, 2026-10-29", "defining_material_read": [ { "what": "MMRS record, census row", "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'aiaaic-repository'], schema_note; rows ai-incident-database and oecd-ai-incidents-monitor for their relations to this entity); the 2026-10-28 copy at rebuild/capture-registry/intake-20261029-aggregators/census-20261028.json (differs only by the capture relation)", "read": "whole" }, { "what": "MMRS record, article", "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['aiaaic-repository']; ARTICLES['ai-incident-database'] 'Place in the field')", "read": "whole" }, { "what": "MMRS record, rendered", "file": "/home/claude/fleet/machinemediation-org/aggregators/aiaaic-repository/index.html", "read": "text, whole, for agreement with the sources" }, { "what": "capture record", "file": "data/EA-WG-CAPTURES-01.json (aiaaic-repository-aio-20261029)", "read": "transcript, transcript_raw, cite_list, d, reading, findings, analysis, originator" }, { "dep": 543, "file": "data/texts/AXN-0174-text.md", "read": "Phase 3–5 of the deployment map, around the admitted row" }, { "what": "the specification", "file": "data/texts/AXN-0700-text.md", "read": "§0–§11 and Appendix A whole" } ], "cuts": [], "notes": "equal case; KO 25 sentences, all 52 field and 37 archive claims cited; P body 292 words; KO_B 10 sentences, none surviving at ≥ 0.95" }, "field_by_origin": { "cards": [ "B1", "B2", "B3" ], "own_pages": [ "B4", "B5", "B6" ], "wikipedia": [ "B7", "B8" ], "unreachable": [], "title_only": [], "wikipedia_state": "no article: 'AIAAIC' is a redirect (raw wikitext '#REDIRECT [[Ethics_of_artificial_intelligence#AI, Algorithmic, and Automation Incidents and Controversies]]', no redirect categories; created 15 September 2025, one revision); the title 'AI, Algorithmic, and Automation Incidents and Controversies' is the same redirect; 'AIAAIC Repository' has no page (HTTP 404). The target article, Ethics of artificial intelligence, has no section of that name as fetched on 2026-10-29 and names neither AIAAIC nor its expansion: the redirect lands at the article's head. The encyclopedia holds the entity only as a title pointing at an absent section", "sources": [ { "id": "B1", "origin": "card", "role": "Overview card 1; also the entity's own page the MMRS record cites (aiaaic.org/aiaaic-repository)", "card": "AIAAIC — AIAAIC - AIAAIC Repository", "url": "https://www.aiaaic.org/aiaaic-repository", "kind": "Overview card (own page)", "surfaced_by_T": [ { "slug": "aiaaic-repository-aio-20261029", "card": 1 } ], "files": { "B1.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B1.html", "sha256": "92368c7f90250b41b9947eebc37238390c35ce2f150c078526b885870fd5a3a9" }, "B1.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B1.txt", "sha256": "3911da48bd4691c0540509cbc53ccc44e32b37db43937bb032134ee73c9bc97e" } }, "fetched": { "at": "2026-10-29T05:06:24Z", "http": 200, "url": "https://www.aiaaic.org/aiaaic-repository", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B1.html", "raw_sha256": "92368c7f90250b41b9947eebc37238390c35ce2f150c078526b885870fd5a3a9", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B1.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "card_title": "AIAAIC - AIAAIC Repository", "card_snippet": "Incidents: AI and algorithmic automation harms (autonomous vehicle crashes, robotic workplace fatalities and malfunctions, generative AI copyright and training ...", "card_note": null, "names_operator": "yes ('AIAAIC' in the saved text); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "URL taken from the MMRS record's source (the card's title is the page's og:title, 'AIAAIC - AIAAIC Repository'). The card's snippet ('Incidents: AI and algorithmic automation harms (autonomous vehicle crashes, robotic workplace fatalities…') is not in the saved page text or its meta tags; it is carried as the card's own text (F9). The page is a Google Site; its saved text repeats the site navigation (every entry title) three times before the page body, which begins at 'AIAAIC Repository / The independent, grassroots public interest collection…'. It lists 'Google AI Overviews' among systems and AIAAIC2256 'Google AI summaries give cancer patients wrong advice' among the 2026 entries; its navigation carries 'About AIAAIC', 'Team', 'Transparency' (not fetched beyond the about page)." }, { "id": "B2", "origin": "card", "role": "Overview card 2 (third-party catalogue entry)", "card": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI", "url": "https://oecd.ai/en/catalogue/tools/aiaaic-repository", "kind": "Overview card", "surfaced_by_T": [ { "slug": "aiaaic-repository-aio-20261029", "card": 2 } ], "files": { "B2.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B2.html", "sha256": "ab766dbf5dcde467c98509f3c5573f3a8b482183ad414c834ab49f7d09df0a28" }, "B2.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B2.txt", "sha256": "a9fc2b4a082027b0bd2e94f3101e6c9731aba4489dcdee62d6c4a6949f0a61f9" } }, "fetched": { "at": "2026-10-29T05:06:24Z", "http": 200, "url": "https://oecd.ai/en/catalogue/tools/aiaaic-repository", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B2.html", "raw_sha256": "ab766dbf5dcde467c98509f3c5573f3a8b482183ad414c834ab49f7d09df0a28", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B2.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "card_title": "AIAAIC Repository - OECD.AI", "card_snippet": "Overview: AIAAIC Repository is an independent, open-access, public interest resource detailing AI, algorithmic, and automation incidents and controversies, star...", "card_note": null, "names_operator": "yes ('AIAAIC' in the saved text); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "URL from the MMRS record's source and confirmed by WebSearch (2026-10-29). Catalogue entry 'Uploaded on Jun 8, 2023'. The card's snippet ('Overview: AIAAIC Repository is an independent, open-access, public interest resource…') is not the saved page's wording ('An independent, open, public interest resource, the AIAAIC Repository details…'); 'open-access' is in neither the saved text nor the raw html; the snippet is carried as the card's own text (F19). The catalogue's disclaimer says the tools featured are the originating authors' (F18)." }, { "id": "B3", "origin": "card", "role": "Overview card 3 (third-party article)", "card": "EthicAI — Tracking AI incidents: OECD AIM and AIAAIC Repository - EthicAI", "url": "https://ethicai.net/ai-incidents", "kind": "Overview card", "surfaced_by_T": [ { "slug": "aiaaic-repository-aio-20261029", "card": 3 } ], "files": { "B3.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B3.html", "sha256": "d349dd9210de7a5b643ea7e79d84ad42a736e85a0339e67b5f3595576a61bb49" }, "B3.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B3.txt", "sha256": "7dc8cb554b90d5b6e897d27ecaaf85df13398222c7219fff22869e8449412239" } }, "fetched": { "at": "2026-10-29T05:08:08Z", "http": 200, "url": "https://ethicai.net/ai-incidents", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B3.html", "raw_sha256": "d349dd9210de7a5b643ea7e79d84ad42a736e85a0339e67b5f3595576a61bb49", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B3.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "card_title": "Tracking AI incidents: OECD AIM and AIAAIC Repository - EthicAI", "card_snippet": "Apr 24, 2025 — The AIAAIC is an independent resource, launched as a private initiative in 2019 to better understand to better understand the reputational risks ...", "card_note": null, "names_operator": "yes ('AIAAIC' in the saved text); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "URL found through WebSearch (2026-10-29): the title is syndicated at verifywise.ai, whose page links the original at https://ethicai.net/ai-incidents; the saved page's og:title is the card's title exactly and its byline 'by Team EthicAI | Apr 24, 2025 | AI Safety' matches the card's date. Its sentence 'launched as a private initiative in 2019 to better understand to better understand' carries the doubled phrase as published." }, { "id": "B4", "origin": "own_page", "role": "the entity's own about page (named by the task; not among the MMRS record's sources); not surfaced by T", "card": "AIAAIC — About AIAAIC", "url": "https://www.aiaaic.org/about-aiaaic", "kind": "own page", "surfaced_by_T": "no (not surfaced by T; admitted beside the cards by the operator's ruling of 2026-10-29)", "files": { "B4.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B4.html", "sha256": "c088cb1616de229fcbdc2bc327515e1751b51086b90730bed310dd34789718f3" }, "B4.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B4.txt", "sha256": "af3caf81935dd0c4ea601b1f6f4cab1a4beb7844465cba3f3f8c3437cdb18ef7" } }, "fetched": { "at": "2026-10-29T05:06:26Z", "http": 200, "url": "https://www.aiaaic.org/about-aiaaic", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B4.html", "raw_sha256": "c088cb1616de229fcbdc2bc327515e1751b51086b90730bed310dd34789718f3", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B4.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "names_operator": "yes ('AIAAIC' in the saved text); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "Read for 'who runs the repository' (MMRS unchecked): the page names no person; it describes AIAAIC as an initiative that 'comprises a diverse set of individuals across the world' and funded by individuals' donations. Its navigation links a 'Team' page (/about-aiaaic/team), not fetched: the task named the about page." }, { "id": "B5", "origin": "own_page", "role": "the newsletter's about page, an own page the MMRS record cites; not surfaced by T", "card": "AIAAIC (Substack) — About - AIAAIC", "url": "https://aiaaicalert.substack.com/about", "kind": "own page", "surfaced_by_T": "no (not surfaced by T; admitted beside the cards by the operator's ruling of 2026-10-29)", "files": { "B5.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B5.html", "sha256": "cc219629c095ed9b0fc414f11fe5bed9b0d611e76f8eb5863e9940b39a84d801" }, "B5.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B5.txt", "sha256": "90b0161b955dc1cf90e31d0dc4f0248300e3db549027a4b0b7cf8a90d4980e5a" } }, "fetched": { "at": "2026-10-29T05:06:26Z", "http": 200, "url": "https://aiaaicalert.substack.com/about", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B5.html", "raw_sha256": "cc219629c095ed9b0fc414f11fe5bed9b0d611e76f8eb5863e9940b39a84d801", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B5.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "names_operator": "yes ('AIAAIC' in the saved text); names Charlie Pownall (meta tags only)", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "The page body names no person; the name Charlie Pownall is in the page's meta description and author tag ('Click to read AIAAIC, by Charlie Pownall, a Substack publication…'), which Substack writes from the publication's owner. The saved text carries the meta tags above the page text, marked '[meta …]'." }, { "id": "B6", "origin": "own_page", "role": "one entry page of the repository, read for the per-entry fields (MMRS unchecked; named by the task); not surfaced by T", "card": "AIAAIC — Google AI Overviews give wrong, dangerous answers", "url": "https://www.aiaaic.org/aiaaic-repository/ai-algorithmic-and-automation-incidents/google-ai-overviews-give-wrong-dangerous-answers", "kind": "own page (entry)", "surfaced_by_T": "no (not surfaced by T; admitted beside the cards by the operator's ruling of 2026-10-29)", "files": { "B6.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B6.html", "sha256": "e15e140aa91db3546a74b7e417de86278e26543ce06da5618f05879c001f3061" }, "B6.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B6.txt", "sha256": "de2a1f70996b3e8962b8eb453f5f305433274493da8dfabc32af26347adf6355" } }, "fetched": { "at": "2026-10-29T05:07:21Z", "http": 200, "url": "https://www.aiaaic.org/aiaaic-repository/ai-algorithmic-and-automation-incidents/google-ai-overviews-give-wrong-dangerous-answers", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B6.html", "raw_sha256": "e15e140aa91db3546a74b7e417de86278e26543ce06da5618f05879c001f3061", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B6.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "names_operator": "yes ('AIAAIC' in the saved text); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "Chosen from the repository's links as the entry on Google AI Overviews' launch errors (the counterpart of the AI Incident Database's incident 693). The page's og:title is 'AIAAIC - Google AI Overviews give wrong, dangerous answers' and its heading 'Google AI Overviews tell users to add glue to pizzas'. The entry shows no AIAAIC number; its 'Page info' types it 'Issue'." }, { "id": "B7", "origin": "wikipedia", "role": "Wikipedia's page for the name: a redirect to a section", "card": "Wikipedia — AIAAIC (redirect)", "url": "https://en.wikipedia.org/w/index.php?title=AIAAIC&action=raw&redirect=no", "kind": "Wikipedia redirect", "surfaced_by_T": "no (not surfaced by T; admitted beside the cards by the operator's ruling of 2026-10-29)", "files": { "B7.wiki": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7.wiki", "sha256": "43b1fcf94b3af38aa3230a56ef1a5a7b6c92abcccc5094dec6ef6d0c8f7e2dde" }, "B7.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7.html", "sha256": "a2573c2c99660b4f468204e07dae773bfbcb12c82f5a930b421897355593ec5d" }, "B7-history.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7-history.html", "sha256": "82c07d1804161d14fc912c7da661e1ffa7790fcaf6c4fe22e875b3141f1a61ca" }, "B7.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7.txt", "sha256": "6be4e450dd3387260aba48828d7bfd129359d0b213def9734c7912945bffe152" }, "B7-history.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7-history.txt", "sha256": "46c947275f571e7c87b693dde0a87e51c36350c669c06bcfc41dbbdccd0a8543" } }, "fetched": { "at": "2026-10-29T05:08:22Z", "http": 200, "url": "https://en.wikipedia.org/w/index.php?title=AIAAIC&action=raw&redirect=no", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7.wiki", "raw_sha256": "43b1fcf94b3af38aa3230a56ef1a5a7b6c92abcccc5094dec6ef6d0c8f7e2dde", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7.wiki", "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7.txt", "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B7-history.txt" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "names_operator": "yes ('AIAAIC' in the saved text); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "Raw wikitext (B7.wiki, 107 bytes, HTTP 200 at 05:08:22Z) and the rendered redirect page (https://en.wikipedia.org/w/index.php?title=AIAAIC&redirect=no, HTTP 200, 05:08:33Z, B7.html/B7.txt): '#REDIRECT [[Ethics_of_artificial_intelligence#AI, Algorithmic, and Automation Incidents and Controversies]]', no redirect categories; history (https://en.wikipedia.org/w/index.php?title=AIAAIC&action=history, HTTP 200, 05:10:40Z, B7-history.html/.txt): one revision, 15 September 2025. The title 'AI, Algorithmic, and Automation Incidents and Controversies' (raw, redirect=no) is the same redirect, byte for byte (fetched 05:08:22Z, not saved separately: identical to B7.wiki); 'AIAAIC Repository' has no page (HTTP 404, 05:08:22Z). Two further API reads (search, revision history) and one history read of the target were refused with HTTP 429 and not retried." }, { "id": "B8", "origin": "wikipedia", "role": "the redirect's target article", "card": "Wikipedia — Ethics of artificial intelligence", "url": "https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence", "kind": "Wikipedia article", "surfaced_by_T": "no (not surfaced by T; admitted beside the cards by the operator's ruling of 2026-10-29)", "files": { "B8.wiki": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B8.wiki", "sha256": "ab049f50ac4220597b057bae34c9327ccc3d1dd5690be378148cb093b851a984" }, "B8.html": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B8.html", "sha256": "0f29c8754c1d7af67e0c071fc7dfc1acfc90bacfb32b7e4d08ff091d7941e463" }, "B8.txt": { "path": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B8.txt", "sha256": "baa144a4932864984c663f05cb4f1774dd97b53cbfc0bf74cc94b89024500fd6" } }, "fetched": { "at": "2026-10-29T05:08:34Z", "http": 200, "url": "https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence", "raw": "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B8.wiki", "raw_sha256": "ab049f50ac4220597b057bae34c9327ccc3d1dd5690be378148cb093b851a984", "text": [ "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B8.txt", "datasets/negative-of-the-negative/v2/intake/aiaaic-repository-20261029/B8.wiki" ], "method": "curl -sSL -m 30 -A 'Mozilla/5.0' (Wikipedia raw and history with curl -sS); text extracted by a workspace HTML-to-text pass (scripts, styles, noscript, svg and template removed; block tags to line breaks; the page's description, author, og:title, og:description and article time meta tags written above the text, marked '[meta …]')" }, "names_operator": "no ('AIAAIC' absent); names no person as running it", "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)", "note": "Raw wikitext (https://en.wikipedia.org/w/index.php?title=Ethics_of_artificial_intelligence&action=raw, HTTP 200, 05:08:34Z, B8.wiki) and rendered page (B8.html, B8.txt). The section the redirect names does not exist in the article as fetched, and the article names neither AIAAIC nor its expansion (string search of B8.wiki and B8.txt: no hit); the redirect lands at the head of the article." } ] } }