[
 {
  "id": "CAP-1-01",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "at the name the Overview composes the database at the grain of its own about page, kept apart from its neighbours",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, analysis s1",
  "quote": "The Overview composes the database at the grain of its own about page and keeps it apart from its neighbours.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field analysis",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18993831,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-02",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "it gives operator, model and derived layer and omits the incident-and-report structure",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, analysis s2",
  "quote": "It gives the operator, the model and the derived layer, and omits the incident-and-report structure that makes the database what it is.",
  "kernel": true,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field analysis",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18993941,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-03",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "the capture is the baseline for the MMRS record, not yet indexed: no card is machinemediation.org",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, analysis s3",
  "quote": "This is the baseline for the meta-aggregator's record, which was not yet indexed: no card is machinemediation.org.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field analysis",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18994077,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-04",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "the entity held: operator, purpose, aviation model and MIT tracker are the record's fields",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, findings[0]",
  "quote": "THE ENTITY HELD. Operator (the Responsible AI Collaborative), purpose ('harms, near-harms'), the aviation model and the MIT tracker as a derived layer are the record's fields",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18997101,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "defect": "the finding places the 'comparison with aviation' in the editors' guide; the saved guide (B7, Version 2) has no 'aviation'; the comparison is on the home page (F2), the about page (F41, transportation, FAA and FARS) and 'Defining an AI Incident' (F37)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-05",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "unit, attached reports and citation page absent at the name",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, findings[1]",
  "quote": "WHAT IS NOT GIVEN. The incident as the unit, the reports attached to it, and the citation page /cite/N are absent; 'collects public and crowdsourced reports' stands in for the unit.",
  "kernel": true,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18997572,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-06",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "the Kaggle dataset is a homonym on the rail, not used by the composition",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, findings[2]",
  "quote": "A HOMONYM IN THE CARDS. 'AI Incidents, Failures & Controversies Database' on Kaggle (32 incidents, 29 companies, 13 countries) is another dataset with a near name; the composition does not use it, and the card sits beside the database's own.",
  "kernel": false,
  "const": false,
  "lineage": "homonym: the Kaggle compilation",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18997761,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-1-07",
  "dep": "capture:ai-incident-database-aio-20261029",
  "claim": "'free, open-source' does not distinguish open code from an unstated data licence",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "ai-incident-database-aio-20261029, findings[3]",
  "quote": "The database's code is open on GitHub (its about page); the record states no data licence on the snapshots page, and the composition's 'free, open-source' does not distinguish the two.",
  "kernel": false,
  "const": false,
  "lineage": "openness: code and data",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-d2d81aafd207 (ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 18998025,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-2-01",
  "dep": "capture:what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029",
  "claim": "at the unit's question the Overview keeps the guide's distinctions; the five-part test arrives as three, the evidence requirement gone",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029, analysis s1",
  "quote": "At the question of its unit the Overview reads the database's own guide and keeps the guide's distinctions, with one compression: the five-part admission test arrives as three parts, and the evidence requirement is gone.",
  "kernel": true,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-bd807797964a (what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029), field analysis",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 19302228,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-2-02",
  "dep": "capture:what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029",
  "claim": "the MMRS section on selection rests on the test; the composition keeps harm, loses evidence",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029, analysis s2",
  "quote": "The record's 'what its selection leaves out' rests on that test; the composition carries the test's harm condition and loses its evidence condition.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-bd807797964a (what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029), field analysis",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 19302449,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-2-03",
  "dep": "capture:what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029",
  "claim": "incident, issue and variant given as the guide's definitions, the first verbatim",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029, findings[0]",
  "quote": "THE DEFINITION EXACT. The incident, the issue and the variant are the Editor's Guide's definitions (§2.1) in substance, the first verbatim.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-bd807797964a (what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 19305455,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-2-04",
  "dep": "capture:what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029",
  "claim": "five questions made three: the identifiable system folded into AI implication, adequate evidence dropped",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029, findings[1]",
  "quote": "FIVE QUESTIONS MADE THREE. The guide's test asks five things: a specific event, an identifiable AI system, a causal AI role, harm or credible near harm, and adequate evidence (§3). The composition gives three thresholds, folding the identifiable system into 'AI implication' and dropping adequate evidence.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-bd807797964a (what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 19305725,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029/"
  }
 },
 {
  "id": "CAP-2-05",
  "dep": "capture:what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029",
  "claim": "the report absent again; the unit the incident alone",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029, findings[2]",
  "quote": "THE REPORT ABSENT AGAIN. As at the database's name, the report as the source attached to an incident is not stated; the unit is the incident alone.",
  "kernel": false,
  "const": false,
  "lineage": "reception: the composition layer",
  "date": "2026-10-29",
  "title": "Capture Registry observation OBS-bd807797964a (what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029), field findings",
  "creator": "Capture Registry (Lee Sharks, operator)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "offset": 19306039,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.alexanarch.org/captures/what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029/"
  }
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 {
  "id": "MMRS-01",
  "dep": "MMRS",
  "claim": "an editor-resolved database of AI harm events, run by the Responsible AI Collaborative since 2020",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "article, kernel s1",
  "quote": "The AI Incident Database (AIID) is an editor-resolved database of AI harm events, run by the Responsible AI Collaborative since 2020.",
  "kernel": true,
  "const": false,
  "lineage": "what it is: indexing harms and near harms",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 51,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "contested": "'since 2020' against Wikipedia's shift to an independent non-profit in 2022 (F73); composed each with its source (P_coh)",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-02",
  "dep": "MMRS",
  "claim": "unit: the incident with its reports attached; a stable citation page per incident",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "article, kernel s2",
  "quote": "Its unit is the incident, with the reports that document it attached, and every incident has a stable citation page at incidentdatabase.ai/cite/N.",
  "kernel": true,
  "const": true,
  "lineage": "the unit: incident, report, issue, variant",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 185,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-03",
  "dep": "MMRS",
  "claim": "the record quotes the home page's self-description (one lineage with F1)",
  "kind": "definition",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "article, What it is s1",
  "quote": "The AI Incident Database describes itself as \"dedicated to indexing the collective history of harms or near harms realized in the real world.\"",
  "kernel": false,
  "const": false,
  "lineage": "what it is: indexing harms and near harms",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 368,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-04",
  "dep": "MMRS",
  "claim": "operator, founder and director, founding sponsor",
  "kind": "attribution",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "article, What it is s2–4",
  "quote": "It is a project of the Responsible AI Collaborative. Sean McGregor launched it and is its Executive Director; Partnership on AI was the database's founding sponsor.",
  "kernel": false,
  "const": false,
  "lineage": "operator: the Responsible AI Collaborative",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 513,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-05",
  "dep": "MMRS",
  "claim": "the founding paper and its count at launch (one lineage with F65, F68)",
  "kind": "genealogy",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "article, What it is s5",
  "quote": "The founding paper (McGregor, arXiv:2011.08512, 17 November 2020) reported more than 1,000 incident reports at launch.",
  "kernel": false,
  "const": false,
  "lineage": "origin: Partnership on AI and the founding paper",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 678,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-06",
  "dep": "MMRS",
  "claim": "the unit, quoting the guide; reports of several kinds attach to an incident (one lineage with F19, F22)",
  "kind": "definition",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "article, How it works ¶1 s1–2",
  "quote": "Its unit is the incident: \"an alleged harm or near harm event to people, property, or the environment where an AI system is implicated.\" Reports (news articles, papers, posts) attach to incidents, and several reports may document one event.",
  "kernel": false,
  "const": false,
  "lineage": "the unit: incident, report, issue, variant",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 822,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-07",
  "dep": "MMRS",
  "claim": "the variant (one lineage with F24)",
  "kind": "definition",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "article, How it works ¶1 s3",
  "quote": "A distinct incident involving the same system, with substantially similar causes and harms, is recorded as a variant.",
  "kernel": false,
  "const": false,
  "lineage": "the unit: incident, report, issue, variant",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1065,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-08",
  "dep": "MMRS",
  "claim": "the five-question test (one lineage with F26)",
  "kind": "definition",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "article, How it works ¶2 s1",
  "quote": "A candidate passes a five-question test: a specific event, an identifiable AI system, a causal AI role, harm or credible near harm, and adequate evidence.",
  "kernel": false,
  "const": false,
  "lineage": "admission: the five-question test",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1205,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-09",
  "dep": "MMRS",
  "claim": "open submission, editor resolution (one lineage with F3, F45)",
  "kind": "function",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "article, How it works ¶2 s2–3",
  "quote": "Anyone may submit. The incident editors resolve submissions.",
  "kernel": false,
  "const": false,
  "lineage": "intake: open submission, editor resolution",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1360,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-10",
  "dep": "MMRS",
  "claim": "merges keep the citation page, pointing to the surviving record (one lineage with F64; adds the rule's statement)",
  "kind": "function",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "article, How it works ¶2 s4",
  "quote": "A duplicate is merged into the earlier record, and its citation page stays up and points there (Incident 637 now reads as a duplicate of 112).",
  "kernel": false,
  "const": false,
  "lineage": "the record: citation, merge, snapshot",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1421,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-11",
  "dep": "MMRS",
  "claim": "weekly snapshot (one lineage with F54)",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "article, How it works ¶2 s5",
  "quote": "The whole database is offered as a weekly snapshot.",
  "kernel": false,
  "const": false,
  "lineage": "the record: citation, merge, snapshot",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1564,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-12",
  "dep": "MMRS",
  "claim": "presumptive exclusions, quoted (the quoted words are not the guide's: F30)",
  "kind": "limit",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "article, What its selection leaves out s1",
  "quote": "Its presumptive exclusions include \"benchmark failures that stay in testing\" and \"general criticism of a technology.\"",
  "kernel": false,
  "const": false,
  "lineage": "admission: the five-question test",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1658,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "defect": "the quotation marks enclose words that are not the guide's: §3.3 reads 'Benchmark failures, model errors, or hallucinations that remain inside testing or private drafting and have no consequential use' and 'General criticism of a product or technology class without identified harm' (F30); the substance agrees",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-13",
  "dep": "MMRS",
  "claim": "a measured study enters only as a report of an event",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "article, What its selection leaves out s2",
  "quote": "A measured study enters as a report when it documents an event.",
  "kernel": false,
  "const": false,
  "lineage": "what its selection leaves out",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1780,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-14",
  "dep": "MMRS",
  "claim": "an answer surface's ordinary treatment of sources has no unit; attribution erasure, citation fidelity and provenance stripping enter only attached to a harm",
  "kind": "limit",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "article, What its selection leaves out s3",
  "quote": "What an answer surface does with a source on an ordinary day, with no harm event, has no unit here: attribution erasure, citation fidelity and provenance stripping enter when they attach to a harm.",
  "kernel": true,
  "const": true,
  "lineage": "what its selection leaves out",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 1844,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-15",
  "dep": "MMRS",
  "claim": "incident 693 the field's index case, seven reports",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "article, What its selection leaves out s4",
  "quote": "Incident 693, Google's AI Overviews of May 2024, is the field's index case in the database, with seven reports.",
  "kernel": false,
  "const": false,
  "lineage": "the index case: incident 693",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 2042,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-16",
  "dep": "MMRS",
  "claim": "the citation page per incident is the meta-aggregator's model",
  "kind": "genealogy",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "article, Place in the field s1",
  "quote": "Its citation page per incident is the model this meta-aggregator follows.",
  "kernel": false,
  "const": false,
  "lineage": "the record: citation, merge, snapshot",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 2185,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-17",
  "dep": "MMRS",
  "claim": "neighbours in the harm basin: OECD AIM (automated, news-derived) and AIAAIC",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "article, Place in the field s2",
  "quote": "Its neighbours in the harm basin are the OECD AI Incidents and Hazards Monitor, which is automated and news-derived, and the AIAAIC Repository.",
  "kernel": false,
  "const": false,
  "lineage": "neighbours",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 2259,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-18",
  "dep": "MMRS",
  "claim": "MIT's repository aggregates risk frameworks and keeps its own tracker",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "article, Place in the field s3",
  "quote": "The MIT AI Risk Repository aggregates risk frameworks over the same ground and keeps its own incident tracker.",
  "kernel": false,
  "const": false,
  "lineage": "neighbours",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (article)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/scripts/meta_aggregator/articles.py (ARTICLES['ai-incident-database'])",
  "offset": 2403,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-19",
  "dep": "MMRS",
  "claim": "founded 2020, as the arXiv paper describes it (one lineage with F65)",
  "kind": "genealogy",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "census: founded (evidence: arxiv.org/abs/2011.08512, basis third-party)",
  "quote": "2020 (described in arXiv:2011.08512, submitted 17 November 2020)",
  "kernel": false,
  "const": false,
  "lineage": "origin: Partnership on AI and the founding paper",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].founded)",
  "offset": 289,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "defect": "the evidence basis is 'third-party' for a paper by the database's founder (B18: Authors: Sean McGregor)",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-20",
  "dep": "MMRS",
  "claim": "highest incident id seen 1788 (2026-10-28), an upper bound since ids include merged duplicates",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census: count (evidence: incidentdatabase.ai, basis observed)",
  "quote": "ids include merged duplicates (e.g. 637, merged into 112), so the id is an upper bound on incidents",
  "kernel": false,
  "const": false,
  "lineage": "count: incidents and reports",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].count.note)",
  "offset": 1073,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-21",
  "dep": "MMRS",
  "claim": "what it records per item: id and citation page, title, date, alleged deployer and developer, harmed parties, attached reports, CSET and GMF classifications, variants",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census: item_fields (evidence: incidentdatabase.ai/cite/693, basis observed)",
  "quote": "taxonomy classifications (CSET, GMF)",
  "kernel": false,
  "const": false,
  "lineage": "the record: citation, merge, snapshot",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].item_fields)",
  "offset": 912,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-22",
  "dep": "MMRS",
  "claim": "data access: weekly snapshots and Excel export (one lineage with F54, F57)",
  "kind": "fact",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "census: data_access (evidence: incidentdatabase.ai/research/snapshots, basis operator)",
  "quote": "weekly full snapshots (JSON, MongoDB archive, CSV; latest 2026-10-26) and a weekly Excel export of incidents with taxonomies",
  "kernel": false,
  "const": false,
  "lineage": "the record: citation, merge, snapshot",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].data_access)",
  "offset": 1227,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-23",
  "dep": "MMRS",
  "claim": "code open source; no data licence stated",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census: license (evidence: incidentdatabase.ai/research/snapshots, basis observed)",
  "quote": "code open source; no data licence stated on the snapshots page",
  "kernel": false,
  "const": false,
  "lineage": "openness: code and data",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].license)",
  "offset": 1369,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-24",
  "dep": "MMRS",
  "claim": "it is not the OECD monitor, not a vulnerability database, not a list of research papers",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census: negative_tags",
  "quote": "NOT a list of research papers: its unit is the event, and papers enter as reports",
  "kernel": false,
  "const": false,
  "lineage": "neighbours",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].negative_tags)",
  "offset": 1665,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-25",
  "dep": "MMRS",
  "claim": "the Kaggle dataset set apart from the database by its context (32 incidents, 29 companies, 24 columns)",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census: disambiguation (label)",
  "quote": "AI Incidents, Failures & Controversies Database (Kaggle)",
  "kernel": false,
  "const": false,
  "lineage": "homonym: the Kaggle compilation",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].disambiguation)",
  "offset": 2189,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-26",
  "dep": "MMRS",
  "claim": "admission requires harm or credible near harm",
  "kind": "fact",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "census: properties.admission_requires_harm (evidence: editors-guide, basis operator)",
  "quote": "yes: harm or credible near harm (five-question test)",
  "kernel": false,
  "const": false,
  "lineage": "admission: the five-question test",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].properties.admission_requires_harm)",
  "offset": 6750,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-27",
  "dep": "MMRS",
  "claim": "version history by weekly full snapshots",
  "kind": "fact",
  "modality": "attributed",
  "strata": [
   "D"
  ],
  "locus": "census: properties.version_history (evidence: snapshots, basis operator)",
  "quote": "weekly full snapshots",
  "kernel": false,
  "const": false,
  "lineage": "the record: citation, merge, snapshot",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].properties.version_history)",
  "offset": 1227,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-28",
  "dep": "MMRS",
  "claim": "whether report texts are archived is unknown",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census: properties.preserves_original_outputs (basis reading)",
  "quote": "unknown: reports are linked; whether their texts are archived was not read",
  "kernel": false,
  "const": false,
  "lineage": "what its selection leaves out",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].properties.preserves_original_outputs)",
  "offset": 7129,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-29",
  "dep": "MMRS",
  "claim": "no field for attribution: attribution failure enters attached to a harm event",
  "kind": "limit",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census: properties.records_attribution (evidence: editors-guide, basis reading)",
  "quote": "no field for it: attribution failure enters when it attaches to a harm event",
  "kernel": false,
  "const": false,
  "lineage": "what its selection leaves out",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].properties.records_attribution)",
  "offset": 7324,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-30",
  "dep": "MMRS",
  "claim": "the record kept apart from the entity; each assertion with source and basis; lifecycle apart from observation",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census: schema_note (v2, 2026-10-28)",
  "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",
  "kernel": false,
  "const": false,
  "lineage": "the record kept apart from the entity",
  "date": "2026-10-28 (corrected 2026-10-29)",
  "title": "MMRS meta-aggregator record: AI Incident Database (census row, schema 2.2)",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/machinemediation-org/data/meta-aggregator/census.json (rows[slug == 'ai-incident-database'].schema_note)",
  "offset": 65472,
  "quote_ok": true,
  "quote_check": "verbatim within the field's value as loaded",
  "surface": {
   "url": "https://www.machinemediation.org/aggregators/ai-incident-database/"
  }
 },
 {
  "id": "MMRS-31",
  "dep": "MMRS",
  "claim": "lifecycle active; observed 2026-10-28 by reading",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census: lifecycle.state; observed.on",
  "quote": "active",
  "kernel": false,
  "const": false,
  "lineage": "the record kept apart from the entity",
  "date": "2026-10-28 (corrected 2026-10-29)",
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