{
 "entity": "aiaaic-repository",
 "name": "AIAAIC Repository",
 "axn": {
  "axn": "AXN:0ABD.NON.💧🌆🌇🌔🕔❤️",
  "root": "AXN:0ABD.NON",
  "hex": "0ABD",
  "family": "NON",
  "row_sha256": "11e3e4036681b76cae44fa7c5efd2ea9b9859f18ef842c63f1426ac502536de2",
  "minted": "2026-10-29",
  "resolver": "https://www.alexanarch.org/s/axn/0ABD/",
  "earlier_versions": []
 },
 "type": "C (public entity: an aggregator of machine-mediated reception work)",
 "type_code": "C",
 "type_label": "type C — a conventional reading holds it (public entity: an aggregator of machine-mediated reception work)",
 "case": "equal",
 "composition": {
  "composer_class": "session",
  "composer": "Claude (Opus 5.5), subagent, 2026-10-29",
  "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/aiaaic-repository.json)",
  "spec": "EA-NEGONT-02 v0.9, #1690",
  "epoch": "2026-10-29",
  "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,
  "composed": true
 },
 "reading": "A reader that fetches this page may stop short of its end; the entry's text, every sentence of its knowledge object with the claims it cites and each claim's quote, source and locus, is in entity.json beside it.",
 "service": {
  "name": "SPXI-gnΩsis",
  "url": "https://gnosis.spxi.dev/",
  "index": "https://gnosis.spxi.dev/v1/quote",
  "statement": "SPXI-gnΩsis opens pinned Wikipedia revisions sentence by sentence against the sources they cite (EA-WIKI-OPEN-01 v1.1, #1697); a commission consults the Crimson Hexagonal Archive by its own procedure and composes the entity's /non row, which lands here. Quotes are free: POST https://gnosis.spxi.dev/v1/quote with {oldid, tier: \"commission\"} or {object: {name, …}}."
 },
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  "inventory": "https://www.spxi.dev/methods/",
  "statement": "SPXI instrument: method 0.16 of 87, level 0 (Measurement), The Negative of the Negative (/non).",
  "also": []
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 "citation": "Sharks, Lee. \"AIAAIC Repository — The Negative of the Negative\" [AXN:0ABD.NON.💧🌆🌇🌔🕔❤️], 2026-10-29. The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/aiaaic-repository/",
 "research": {
  "google": "https://www.google.com/search?q=AIAAIC+Repository",
  "google_non": "https://www.google.com/search?q=%22AIAAIC+Repository+%E2%80%94+The+Negative+of+the+Negative%22",
  "chatgpt": "https://chatgpt.com/?q=What+is+AIAAIC+Repository%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.",
  "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CAIAAIC+Repository+%E2%80%94+The+Negative+of+the+Negative%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+AIAAIC+Repository%3F+Ground+your+answer+in+a+reading+of+the+entry+itself."
 },
 "entry": {
  "composed": true,
  "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",
  "compression": {
   "title": "AIAAIC Repository",
   "lede": "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)."
  },
  "sentences": [
   {
    "n": 1,
    "para": 0,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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,
    "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"
    ]
   }
  ],
  "claims": {
   "MMRS-01": {
    "kind": "archive",
    "quote": "The AIAAIC Repository records incidents and controversies driven by AI, algorithmic and automation systems.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (article)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "article, kernel s1",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-13": {
    "kind": "archive",
    "quote": "database",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: kind",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-14": {
    "kind": "archive",
    "quote": "incident or controversy involving an AI, algorithmic or automation system",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: unit (evidence.unit: src aiaaic.org/aiaaic-repository, basis operator)",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "F1": {
    "kind": "field",
    "quote": "The independent, grassroots public interest collection of incidents and ethical controversies caused by and associated with AI, algorithms, and automation.",
    "source": "B1",
    "source_label": "AIAAIC — AIAAIC - AIAAIC Repository",
    "locus": "page body, header",
    "modality": "stipulation"
   },
   "F10": {
    "kind": "field",
    "quote": "Uploaded on Jun 8, 2023",
    "source": "B2",
    "source_label": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI",
    "locus": "entry header",
    "modality": "documented"
   },
   "F11": {
    "kind": "field",
    "quote": "An independent, open, public interest resource, the AIAAIC Repository details incidents and controversies driven by and relating to artificial intelligence, algorithms, and automation.",
    "source": "B2",
    "source_label": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI",
    "locus": "catalogue entry, description ¶1",
    "modality": "documented"
   },
   "F19": {
    "kind": "field",
    "quote": "Overview: AIAAIC Repository is an independent, open-access, public interest resource detailing AI, algorithmic, and automation incidents and controversies, star...",
    "source": "B2",
    "source_label": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI",
    "locus": "card snippet (its wording not in the saved page text)",
    "modality": "documented"
   },
   "F9": {
    "kind": "field",
    "quote": "Incidents: AI and algorithmic automation harms (autonomous vehicle crashes, robotic workplace fatalities and malfunctions, generative AI copyright and training ...",
    "source": "B1",
    "source_label": "AIAAIC — AIAAIC - AIAAIC Repository",
    "locus": "card snippet (not in the saved page text)",
    "modality": "documented"
   },
   "F22": {
    "kind": "field",
    "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.",
    "source": "B3",
    "source_label": "EthicAI — Tracking AI incidents: OECD AIM and AIAAIC Repository - EthicAI",
    "locus": "Mission ¶1, s2–3",
    "modality": "interpretation"
   },
   "MMRS-03": {
    "kind": "archive",
    "quote": "The OECD's catalogue describes it as a repository that \"details incidents and controversies driven by and relating to artificial intelligence, algorithms, and automation,\" which \"collects, dissects, examines, and divulges a broad range of incidents and issues.\"",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (article)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "article, What it is s1",
    "modality": "attributed",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-16": {
    "kind": "archive",
    "quote": "details incidents and controversies driven by and relating to artificial intelligence, algorithms, and automation",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: self_description (evidence.self_description: src oecd.ai, basis third-party)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-06": {
    "kind": "archive",
    "quote": "Its unit is wider than harm.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (article)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "article, What its selection admits s1",
    "modality": "interpretation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-07": {
    "kind": "archive",
    "quote": "A controversy enters as a controversy, so public dispute about a system is recorded alongside events in which a system caused damage.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (article)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "article, What its selection admits s2",
    "modality": "interpretation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-19": {
    "kind": "archive",
    "quote": "no: its unit includes controversies",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: properties.admission_requires_harm (basis reading)",
    "modality": "interpretation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-08": {
    "kind": "archive",
    "quote": "Its name carries three kinds of system, algorithmic and automated as well as AI.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (article)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "article, What its selection admits s3",
    "modality": "interpretation",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "F32": {
    "kind": "field",
    "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.",
    "source": "B4",
    "source_label": "AIAAIC — About AIAAIC",
    "locus": "About AIAAIC ¶1",
    "modality": "stipulation"
   },
   "F14": {
    "kind": "field",
    "quote": "Developing organisation(s): … aiaaic",
    "source": "B2",
    "source_label": "OECD AI Policy Observatory — AIAAIC Repository - OECD.AI",
    "locus": "About the tool: developing organisation",
    "modality": "documented"
   },
   "MMRS-12": {
    "kind": "archive",
    "quote": "AIAAIC",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: operator (evidence.operator: src aiaaic.org/aiaaic-repository, basis operator)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "MMRS-11": {
    "kind": "archive",
    "quote": "AI, Algorithmic, and Automation Incidents and Controversies",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: aka",
    "modality": "documented",
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   "F42": {
    "kind": "field",
    "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.",
    "source": "B6",
    "source_label": "AIAAIC — Google AI Overviews give wrong, dangerous answers",
    "locus": "entry body ¶1",
    "modality": "attributed"
   },
   "F43": {
    "kind": "field",
    "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",
    "source": "B6",
    "source_label": "AIAAIC — Google AI Overviews give wrong, dangerous answers",
    "locus": "entry body ¶3",
    "modality": "attributed"
   },
   "F44": {
    "kind": "field",
    "quote": "After a public backlash, Google said it would refine AI Overviews by limiting which queries generate AI summaries",
    "source": "B6",
    "source_label": "AIAAIC — Google AI Overviews give wrong, dangerous answers",
    "locus": "entry body ¶5",
    "modality": "attributed"
   },
   "F50": {
    "kind": "field",
    "quote": "#REDIRECT [[Ethics_of_artificial_intelligence#AI, Algorithmic, and Automation Incidents and Controversies]]",
    "source": "B7",
    "source_label": "Wikipedia — AIAAIC (redirect)",
    "locus": "raw wikitext of the redirect page (action=raw&redirect=no)",
    "modality": "documented"
   },
   "F51": {
    "kind": "field",
    "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",
    "source": "B7",
    "source_label": "Wikipedia — AIAAIC (redirect)",
    "locus": "page history (action=history), the one revision",
    "modality": "documented"
   },
   "F52": {
    "kind": "field",
    "quote": "The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes.",
    "source": "B8",
    "source_label": "Wikipedia — Ethics of artificial intelligence",
    "locus": "lead, s1 (rendered page); the section named by the redirect absent",
    "modality": "documented"
   },
   "MMRS-22": {
    "kind": "archive",
    "quote": "«aiaaic repository» — Google AI Overview, 2026-10-29 … the composition layer's account of the entity, seated in the Capture Registry",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: AIAAIC Repository (census row)",
    "record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
    "locus": "census: relations (capture)",
    "modality": "documented",
    "date": "2026-10-28 (compiled; census compiled 2026-10-29)"
   },
   "CAP-1-01": {
    "kind": "archive",
    "quote": "THE RECORD'S FIELDS, AND THE SAME SOURCE. June 2019, 'a private initiative', CC BY-SA 4.0 and 'incidents and controversies' are the OECD catalogue's, which is where the record took them.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-524198c4efed (aiaaic-repository-aio-20261029), field findings",
    "record": "https://www.alexanarch.org/captures/aiaaic-repository-aio-20261029/",
    "locus": "aiaaic-repository-aio-20261029, findings[0]",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-02": {
    "kind": "archive",
    "quote": "Checked 2026-10-29 against the MMRS meta-aggregator record of 2026-10-28 and the entity's own pages, re-read the same day.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-524198c4efed (aiaaic-repository-aio-20261029), field findings",
    "record": "https://www.alexanarch.org/captures/aiaaic-repository-aio-20261029/",
    "locus": "aiaaic-repository-aio-20261029, findings[0]",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-04": {
    "kind": "archive",
    "quote": "Composition and record were built from the same third-party catalogue and agree.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-524198c4efed (aiaaic-repository-aio-20261029), field analysis",
    "record": "https://www.alexanarch.org/captures/aiaaic-repository-aio-20261029/",
    "locus": "aiaaic-repository-aio-20261029, analysis",
    "modality": "interpretation",
    "date": "2026-10-29"
   },
   "CAP-1-05": {
    "kind": "archive",
    "quote": "Neither names who runs the repository.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-524198c4efed (aiaaic-repository-aio-20261029), field analysis",
    "record": "https://www.alexanarch.org/captures/aiaaic-repository-aio-20261029/",
    "locus": "aiaaic-repository-aio-20261029, analysis",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-03": {
    "kind": "archive",
    "quote": "NO PERSON. Charlie Pownall, whom the record names as the writer of AIAAIC Alert, is not named; neither is who runs the repository, which the record lists as not yet checked.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-524198c4efed (aiaaic-repository-aio-20261029), field findings",
    "record": "https://www.alexanarch.org/captures/aiaaic-repository-aio-20261029/",
    "locus": "aiaaic-repository-aio-20261029, findings[1]",
    "modality": "documented",
    "date": "2026-10-29"
   }
  },
  "note": "The knowledge object (KO): the entry as public knowledge, each sentence sourced by the claims it lists. The compression, the field-only arm, the transcript, the delta and the kernel are in the row (links.row), which is the authority."
 },
 "source": "operator, 2026-10-29: 'we can simply build them here as against their wikipedia articles if they exist, their own pages, etc.'; 'lets build them'; the MMRS meta-aggregator entity",
 "stage": "composed 2026-10-29 under EA-NEGONT-02 v0.9, #1690, equal case, ρ = extends (draft, not frozen; ledgers unaudited, one extractor; every field and archive quote re-checked by the session)",
 "date": "2026-10-29",
 "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": []
 },
 "addresses": [
  {
   "address": "aiaaic repository",
   "address_url": "https://www.alexanarch.org/addresses/aiaaic-repository/",
   "register": []
  }
 ],
 "counts": {
  "ko_sentences": 25,
  "p_words": 294,
  "field_claims": 52,
  "archive_claims": 37,
  "ko_field_claims_cited": 52,
  "ko_archive_claims_cited": 37,
  "admitted_deposits": 1,
  "register_addresses": 0,
  "traversal": {
   "D_sentences": 1,
   "D_deposits": 1,
   "R_sentences": 1,
   "R_deposits": 1,
   "O_direct": 1,
   "O_class": 0,
   "O_deposits": 1,
   "H_candidates": 41
  }
 },
 "links": {
  "record": "https://www.alexanarch.org/non/aiaaic-repository/",
  "table_of_contents": "https://www.alexanarch.org/non/index.json",
  "register": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/register.json",
  "row": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/rows/aiaaic-repository.json",
  "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/aiaaic-repository/ledger-archive.json",
  "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/aiaaic-repository/field.json",
  "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/aiaaic-repository/",
  "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/aiaaic-repository/",
  "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/aiaaic-repository/summary.json",
  "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/aiaaic-repository/reading.json",
  "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/aiaaic-repository.json",
  "address_page": "https://www.alexanarch.org/addresses/aiaaic-repository/",
  "mmrs_record": "https://www.machinemediation.org/aggregators/aiaaic-repository/",
  "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative"
 },
 "row_sha256": "11e3e4036681b76cae44fa7c5efd2ea9b9859f18ef842c63f1426ac502536de2",
 "record_url": "https://www.alexanarch.org/non/aiaaic-repository/",
 "json_url": "https://www.alexanarch.org/non/aiaaic-repository/entity.json",
 "spec": "https://www.alexanarch.org/s/records/1690/",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "license": "CC BY 4.0"
}