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 "slug": "oecd-ai-incidents-and-hazards-monitor-aio-20261029",
 "date": "2026-10-29",
 "surface": "Google AI Overview",
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   "n": 1,
   "site": "OECD AI Policy Observatory",
   "rel": "third_party",
   "url": null,
   "title": "OECD AI Incidents Monitor, an evidence base for trustworthy AI",
   "snip": "Evolution of incidents and hazard by affected stakeholder As percentage of total AI events Note: An AI incident or hazard can be reported by one or more news ar...",
   "note": null
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   "site": "OECD",
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   "title": "AI risks and incidents",
   "snip": "All actors must monitor AI incidents and hazards to mitigate risks As AI adoption continues to grow, successful risk mitigation will require a solid evidence ba...",
   "note": null
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   "title": "Overview and methodology of the AI Incidents and Hazards Monitor - OECD.AI",
   "snip": "Overview The AI Incidents and Hazards Monitor (AIM) was initiated and is being developed by the OECD.AI expert group on AI incidents with the support of the Pat...",
   "note": null
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   "title": "Trends in AI incidents and hazards reported by the media | OECD",
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   "note": null
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   "site": "OECD",
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   "note": null
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   "site": "YouTube·International Association for Safe & Ethical AI",
   "rel": "third_party",
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   "title": "Establishing Effective Serious Incident Reporting Frameworks – Jimmy Farrell ...",
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   "note": "video, 29:48"
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 "transcript": "[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14), 2026-10-29. The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards that follow the answer); the 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted. The closing disclaimer cut.]\n\n[QUERENT] oecd ai incidents and hazards monitor\n\n[SYSTEM] The OECD AI Incidents and Hazards Monitor (AIM) is a real-time tracking tool developed by the [OECD.AI Policy Observatory](https://www.google.com/goto?url=CAESVAHrOzAVUi7qVAjNNOTx69xH5ATui6ipL9aProgFmumHzx53OmaDa7NSpN5S9tM68o5UDj7Dr25w4-LXqdh1X88iNMFRJKVULlk3sQVOOpD7GUbOBA) in collaboration with the Patrick J. McGovern Foundation to monitor actual and potential risks posed by artificial intelligence. [[1](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA)]\nWhat is AIM?\n\n* Real-Time Tracking: It continuously aggregates and analyzes world news using the Event Registry platform, processing over 150,000 news articles daily to detect AI-related events. [[1](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA)]\n* Evidence Base: It provides policymakers, developers, and the public with empirical data on how AI risks materialize globally. [[1](https://www.google.com/goto?url=CAEScgHrOzAVwqGhkYf9SorcbvbHFWp_yWUbilndOVejGwP1BWdb70lPllHnV1OjwaTm5Y9FgGTIZq7Kp8R6J_FH6eqmP3iFvVP96kVDPEpPu6PtUwb2-QUKtq1yM-9TeqGc3XFOXGl2Ii12XPQC4GTLKczY8Q)]\n* Thematic Classification: Media reports are categorized into 14 distinct risk themes—including synthetic media, cyberattacks and fraud, autonomous vehicles, large language model (LLM) hallucinations, labour market disruptions, and child safety. [[1](https://www.google.com/goto?url=CAES0AEB6zswFYLY51dmCDGurZz4gWMqC-7KglkUpW8R58-wEyoBErrIXAE9wwqKc-I5WJ9C-1xV45aAmo1k43aiSQjBL0HHQFLR3eIsodmqP3t7r_Z6YnYIuowoEFGR2A-rYXqKYu4bCudI2GGXW34SouXiclBw-T_TwZ8752-VBB22X5T7-4hKl9KmgYIO4vpmYD1lZnAXfb_C2N18OrAdz0wyA_Hz3HuhVZLeWM8aFQVcNo6xsX5pHK73cgoH3cRadz4bs7B7-ACtR39gjbS62CW9)]\n\nCore Definitions\n\n* AI Incident: An event where the development, use, or malfunction of an AI system results in actual harm (such as injury, health damage, critical infrastructure disruption, or human/fundamental rights violations). [[1](https://www.google.com/goto?url=CAESvwEB6zswFUvO0WIPQci2_9cuQ6dgwia0HnlKfkbVEioarjsOjSj7qSK7BtqB3RyzC6XnhKdbt5zqVb_d4DZLSrr1VcNSwpB47jUUHtdtl0UIZYY0yrbz1XEZP7SEaCGq_wc_MyqVHYF2F20ZRDvTS2Zcb5E7ryTnOJUoA0WwDyyKkUmD70TFzTB_QsyQ0VskBWHqrig-5DOvy1q5u3FAKCkeWDbbiJJicPGAPT3JseVLPqlr8LNMWs4smXNL6Y_8bg), [2](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA)]\n* AI Hazard: An event or circumstance where the development or use of an AI system could plausibly lead to an AI incident (a near-harm or precursor event). [[1](https://www.google.com/goto?url=CAESYwHrOzAVtE9jKcZNvE_OmeBiRpwxCS9nvkv1CjSAtUFn190mOqznUJVzc1Ou0-qoKeXxvZNe36cPWXoM6mjc9UiW-wu4F8mxspLbCDCb2Qo9SWeJA6nGNeXO-Xm0URGEUWrtlg), [2](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA), [3](https://www.google.com/goto?url=CAESvwEB6zswFUvO0WIPQci2_9cuQ6dgwia0HnlKfkbVEioarjsOjSj7qSK7BtqB3RyzC6XnhKdbt5zqVb_d4DZLSrr1VcNSwpB47jUUHtdtl0UIZYY0yrbz1XEZP7SEaCGq_wc_MyqVHYF2F20ZRDvTS2Zcb5E7ryTnOJUoA0WwDyyKkUmD70TFzTB_QsyQ0VskBWHqrig-5DOvy1q5u3FAKCkeWDbbiJJicPGAPT3JseVLPqlr8LNMWs4smXNL6Y_8bg)]\n\nAccess the Monitor\n\n* You can explore live data, interactive filters, and recent tracking reports directly on the [OECD AI Incidents Monitor](https://www.google.com/goto?url=CAESVAHrOzAVUi7qVAjNNOTx69xH5ATui6ipL9aProgFmumHzx53OmaDa7NSpN5S9tM68o5UDj7Dr25w4-LXqdh1X88iNMFRJKVULlk3sQVOOpD7GUbOBA). [[1](https://www.google.com/goto?url=CAESVAHrOzAVUi7qVAjNNOTx69xH5ATui6ipL9aProgFmumHzx53OmaDa7NSpN5S9tM68o5UDj7Dr25w4-LXqdh1X88iNMFRJKVULlk3sQVOOpD7GUbOBA)]\n\nWould you like to explore specific risk categories (such as labor market impacts or synthetic media) or look into the common reporting framework guidelines?\nOECD AI Policy Observatory\nOECD AI Incidents Monitor, an evidence base for trustworthy AI\nEvolution of incidents and hazard by affected stakeholder As percentage of total AI events Note: An AI incident or hazard can be reported by one or more news ar...\nOECD\nAI risks and incidents\nAll actors must monitor AI incidents and hazards to mitigate risks As AI adoption continues to grow, successful risk mitigation will require a solid evidence ba...\nOECD AI Policy Observatory\nOverview and methodology of the AI Incidents and Hazards Monitor - OECD.AI\nOverview The AI Incidents and Hazards Monitor (AIM) was initiated and is being developed by the OECD.AI expert group on AI incidents with the support of the Pat...\nOECD\nTrends in AI incidents and hazards reported by the media | OECD\n8 The OECD.AI Incidents and Hazards Monitor (AIM) tracks these media-reported AI incidents and hazards in real-time and leverages the OECD common reporting fram...\nOECD\nDefining AI incidents and related terms (EN)\nOECD May 2024 Report No. 16 defines AI incident terminology for reporting frameworks and the AI Incidents Monitor (AIM), approved 14 Mar 2024 by the Digital Pol...\nYouTube·International Association for Safe & Ethical AI\n29:48\nEstablishing Effective Serious Incident Reporting Frameworks – Jimmy Farrell ...",
 "transcript_raw": "The OECD AI Incidents and Hazards Monitor (AIM) is a real-time tracking tool developed by the [OECD.AI Policy Observatory](https://www.google.com/goto?url=CAESVAHrOzAVUi7qVAjNNOTx69xH5ATui6ipL9aProgFmumHzx53OmaDa7NSpN5S9tM68o5UDj7Dr25w4-LXqdh1X88iNMFRJKVULlk3sQVOOpD7GUbOBA) in collaboration with the Patrick J. McGovern Foundation to monitor actual and potential risks posed by artificial intelligence. [[1](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA)]\nWhat is AIM?\n\n* Real-Time Tracking: It continuously aggregates and analyzes world news using the Event Registry platform, processing over 150,000 news articles daily to detect AI-related events. [[1](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA)]\n* Evidence Base: It provides policymakers, developers, and the public with empirical data on how AI risks materialize globally. [[1](https://www.google.com/goto?url=CAEScgHrOzAVwqGhkYf9SorcbvbHFWp_yWUbilndOVejGwP1BWdb70lPllHnV1OjwaTm5Y9FgGTIZq7Kp8R6J_FH6eqmP3iFvVP96kVDPEpPu6PtUwb2-QUKtq1yM-9TeqGc3XFOXGl2Ii12XPQC4GTLKczY8Q)]\n* Thematic Classification: Media reports are categorized into 14 distinct risk themes—including synthetic media, cyberattacks and fraud, autonomous vehicles, large language model (LLM) hallucinations, labour market disruptions, and child safety. [[1](https://www.google.com/goto?url=CAES0AEB6zswFYLY51dmCDGurZz4gWMqC-7KglkUpW8R58-wEyoBErrIXAE9wwqKc-I5WJ9C-1xV45aAmo1k43aiSQjBL0HHQFLR3eIsodmqP3t7r_Z6YnYIuowoEFGR2A-rYXqKYu4bCudI2GGXW34SouXiclBw-T_TwZ8752-VBB22X5T7-4hKl9KmgYIO4vpmYD1lZnAXfb_C2N18OrAdz0wyA_Hz3HuhVZLeWM8aFQVcNo6xsX5pHK73cgoH3cRadz4bs7B7-ACtR39gjbS62CW9)]\n\nCore Definitions\n\n* AI Incident: An event where the development, use, or malfunction of an AI system results in actual harm (such as injury, health damage, critical infrastructure disruption, or human/fundamental rights violations). [[1](https://www.google.com/goto?url=CAESvwEB6zswFUvO0WIPQci2_9cuQ6dgwia0HnlKfkbVEioarjsOjSj7qSK7BtqB3RyzC6XnhKdbt5zqVb_d4DZLSrr1VcNSwpB47jUUHtdtl0UIZYY0yrbz1XEZP7SEaCGq_wc_MyqVHYF2F20ZRDvTS2Zcb5E7ryTnOJUoA0WwDyyKkUmD70TFzTB_QsyQ0VskBWHqrig-5DOvy1q5u3FAKCkeWDbbiJJicPGAPT3JseVLPqlr8LNMWs4smXNL6Y_8bg), [2](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA)]\n* AI Hazard: An event or circumstance where the development or use of an AI system could plausibly lead to an AI incident (a near-harm or precursor event). [[1](https://www.google.com/goto?url=CAESYwHrOzAVtE9jKcZNvE_OmeBiRpwxCS9nvkv1CjSAtUFn190mOqznUJVzc1Ou0-qoKeXxvZNe36cPWXoM6mjc9UiW-wu4F8mxspLbCDCb2Qo9SWeJA6nGNeXO-Xm0URGEUWrtlg), [2](https://www.google.com/goto?url=CAESYAHrOzAVsifMuhOaNwDAlzQjnIy4vrRKr8I29XG5C1WVNVzL3bhCTNw4fI2laOpcyKH7J9IvN8a-ZLn_J0sSyfVklrlhS5SXPO5ES6BEJry4oAExji4krUQwGXL-QXS8LA), [3](https://www.google.com/goto?url=CAESvwEB6zswFUvO0WIPQci2_9cuQ6dgwia0HnlKfkbVEioarjsOjSj7qSK7BtqB3RyzC6XnhKdbt5zqVb_d4DZLSrr1VcNSwpB47jUUHtdtl0UIZYY0yrbz1XEZP7SEaCGq_wc_MyqVHYF2F20ZRDvTS2Zcb5E7ryTnOJUoA0WwDyyKkUmD70TFzTB_QsyQ0VskBWHqrig-5DOvy1q5u3FAKCkeWDbbiJJicPGAPT3JseVLPqlr8LNMWs4smXNL6Y_8bg)]\n\nAccess the Monitor\n\n* You can explore live data, interactive filters, and recent tracking reports directly on the [OECD AI Incidents Monitor](https://www.google.com/goto?url=CAESVAHrOzAVUi7qVAjNNOTx69xH5ATui6ipL9aProgFmumHzx53OmaDa7NSpN5S9tM68o5UDj7Dr25w4-LXqdh1X88iNMFRJKVULlk3sQVOOpD7GUbOBA). [[1](https://www.google.com/goto?url=CAESVAHrOzAVUi7qVAjNNOTx69xH5ATui6ipL9aProgFmumHzx53OmaDa7NSpN5S9tM68o5UDj7Dr25w4-LXqdh1X88iNMFRJKVULlk3sQVOOpD7GUbOBA)]\n\nWould you like to explore specific risk categories (such as labor market impacts or synthetic media) or look into the common reporting framework guidelines?\nOECD AI Policy Observatory\nOECD AI Incidents Monitor, an evidence base for trustworthy AI\nEvolution of incidents and hazard by affected stakeholder As percentage of total AI events Note: An AI incident or hazard can be reported by one or more news ar...\nOECD\nAI risks and incidents\nAll actors must monitor AI incidents and hazards to mitigate risks As AI adoption continues to grow, successful risk mitigation will require a solid evidence ba...\nOECD AI Policy Observatory\nOverview and methodology of the AI Incidents and Hazards Monitor - OECD.AI\nOverview The AI Incidents and Hazards Monitor (AIM) was initiated and is being developed by the OECD.AI expert group on AI incidents with the support of the Pat...\nOECD\nTrends in AI incidents and hazards reported by the media | OECD\n8 The OECD.AI Incidents and Hazards Monitor (AIM) tracks these media-reported AI incidents and hazards in real-time and leverages the OECD common reporting fram...\nOECD\nDefining AI incidents and related terms (EN)\nOECD May 2024 Report No. 16 defines AI incident terminology for reporting frameworks and the AI Incidents Monitor (AIM), approved 14 Mar 2024 by the Digital Pol...\nYouTube·International Association for Safe & Ethical AI\n29:48\nEstablishing Effective Serious Incident Reporting Frameworks – Jimmy Farrell ...\nAI responses may include mistakes. [Learn more](https://support.google.com/websearch?p=ai_overviews)",
 "transcript_class": "CAPTURE-TIME VERBATIM RECORD — paste of the expanded Overview with its source cards",
 "transcript_complete": "complete as supplied",
 "transcript_read": "READ IN FULL 2026-10-29",
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 "per_note": "OECD.AI and the Patrick J. McGovern Foundation named; no person; the OECD's own pages cited.",
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 "reading": "The innocent reading first. The Overview names the monitor's maker and supporter, says how it reads the news, sorts what it finds into themes, and defines its two kinds of event.",
 "analysis": "The monitor is composed from its own methodology page with its inputs and definitions right and its classifier left out, the part of its method that makes each record a machine composition. The record holds what the composition drops.",
 "d": "THE OECD AIM, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'a real-time tracking tool developed by the OECD.AI Policy Observatory in collaboration with the Patrick J. McGovern Foundation'; it aggregates world news through Event Registry, 'processing over 150,000 news articles daily'; 14 risk themes; the definitions of incident and hazard. Six cards, five the OECD's own (the monitor, the methodology page, the May 2024 definitions report).",
 "d_full": "THE OECD AIM, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'a real-time tracking tool developed by the OECD.AI Policy Observatory in collaboration with the Patrick J. McGovern Foundation'; it aggregates world news through Event Registry, 'processing over 150,000 news articles daily'; 14 risk themes; the definitions of incident and hazard. Six cards, five the OECD's own (the monitor, the methodology page, the May 2024 definitions report).",
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   "note": "the canonical gallery, anchored by slug"
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 "imgs": [],
 "img_urls": [],
 "cite": "https://www.alexanarch.org/captures/oecd-ai-incidents-and-hazards-monitor-aio-20261029/",
 "citable_unit": "address — the exact issued string on one surface, per the Surface Rule (MANUS, 2026-08-15)",
 "addr_id": "ADDR-de46fae4a143",
 "obs_id": "OBS-23f50c1b7e04",
 "n_observations": 1,
 "observations": [],
 "dates": [
  "2026-10-29"
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 "defects": [],
 "findings": [
  "THE PIPELINE'S INPUT RIGHT, ITS MACHINE UNSAID. Event Registry and the 150,000 articles a day are the methodology page's. That large language models have classified the events since November 2024 and written their titles and summaries (GPT-4o mini, GPT-4o, o3-mini) is not said. The record reads the monitor as itself a machine reception of the news; the composition reads it as an aggregator of the news. 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.",
  "THE MAKER. The methodology page says the monitor 'was initiated and is being developed by the OECD.AI expert group on AI incidents' with support from the Patrick J. McGovern Foundation; 'developed by the OECD.AI Policy Observatory in collaboration with' is close.",
  "FOURTEEN THEMES. The count comes from a card ('Trends in AI incidents and hazards reported by the media'); the methodology page read gives no count of themes. Not verified here."
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  "entity_type": "dataset",
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 "notes": {
  "prompts": "One query. Sent by the operator on 2026-10-29 with nineteen others, one per entity of the MMRS meta-aggregator, at his offer to run them: 'ill run captures if you want, just list the semantic addresses'."
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