SPXI instrument · method 0.9 of 87, level 0 (Measurement): Capture Registry (longitudinal observation). An instrument of SPXI, the Semantic Packet for eXchange & Indexing; the whole practice is itemized at spxi.dev/methods.

Capture Registry › capture ai-incident-database-aio-20261029

One record of the canonical Capture Registry (EA-WG-CAPTURES-01), cited at https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/. the canonical Capture Registry (version 12.365) · the address page · this card in the gallery · this record as data · table of contents.

AXN:0AA7.CAPTURE — this address. Each observation below is one AXN, sealed with its analysis and measures; the identifier names the reading together with the response it reads.
Machine Reception2026-10-29
ai incident database
Originator: Responsible AI Collaborative · outside the archive (out-universe) · dataset · SPXI treatment: partial
BROAD MATCH
no
image
THE AI INCIDENT DATABASE, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'a free, open-source project managed by the Responsible AI Collaborative that indexes real-world harms, near-harms, and failures caused by artificial intelligence systems'. Four points: the aviation and cybersecurity reporting model, a scope of harms (bias, privacy, misinformation, deepfakes, vehicles, safety-critical failures), growth with deepfake and scam entries multiplying, and the MIT AI Incident Tracker as a research extension that parses the database with taxonomies and LLM pipelines. Six cards: the database, the MIT tracker, Partnership on AI, the OECD catalogue entry, a Kaggle dataset, a TIME clip.
Full record — 6,247 characters, 6 sources
Capture record
captured
2026-10-29
surface
Google AI Overview
auth state
signed out, incognito
evidence class
paste
PER (historical scalar)
0.5
PER units retained
inst, src
citations read
6
observation id
OBS-d2d81aafd207
address id
ADDR-ebdc2a94e8d6
Reading

The innocent reading first. The Overview identifies the database, its operator and its purpose, gives the model it is built on and the kinds of harm it holds, and names the MIT tracker that reclassifies it. Its cards are the database's own about page, the tracker, the founding sponsor's page and the OECD's catalogue entry.

Findings
Analysis analyst prose, not machine text

The Overview composes the database at the grain of its own about page and keeps it apart from its neighbours. It gives the operator, the model and the derived layer, and omits the incident-and-report structure that makes the database what it is. This is the baseline for the meta-aggregator's record, which was not yet indexed: no card is machinemediation.org.

Machine text, verbatim
CAPTURE-TIME VERBATIM RECORD — paste of the expanded Overview with its source cards · complete as supplied · READ IN FULL 2026-10-29
[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.] [QUERENT] ai incident database [SYSTEM] The [AI Incident Database](https://www.google.com/goto?url=CAESVAHrOzAVhCp3r30WDl_s74Tm7Hc1aBx4m9gUEfwR4rqNmGz-8J-kaBBPEf7oCzpPsVYpI0IjKz6xRnV6Cp3Gh2ovoUhN7Tqyc-CNOsFltlelT6uSJw) is a free, open-source project managed by the [Responsible AI Collaborative](https://www.google.com/goto?url=CAESbwHrOzAVQJB-mdnnQ6r52BIfaBkZdpvIYmeG5iTBUzeQEwySxYcKr4WzFleLjuPKMrQKQTK3W2B9l2jGnS5pLy19F1B1fTurJ-XoVDm2xfief4Gqb_ptw2t6ueReQR1dw3n-38GlP31Dx2C5MCLIXg) that indexes real-world harms, near-harms, and failures caused by artificial intelligence systems. [[1], [2]] Core Purpose & Model * Aviation Safety Model: Modeled after safety incident reporting systems used in aviation and cybersecurity, it collects public and crowdsourced reports to help the industry learn from past failures. [[1], [2]] * Scope of Harms: Documents issues spanning algorithmic bias, discrimination, privacy leaks, misinformation, deepfakes, autonomous vehicle accidents, and safety-critical system failures. [[1], [2], [3]] * Growth & Trends: Incidents tracked by the database have surged significantly, with deepfake and scam-related entries multiplying rapidly alongside broader media scrutiny. [[1], [2]] * Research Extensions: Projects like the [
Sources (6) as cited, and as the copy produced them
  1. AI Incident Database third_party
    AI Incident Database
    About the Database The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment ...
  2. MIT AI Risk Initiative third_party
    MIT AI Incident Tracker
    Overview: MIT AI Incident Tracker classifies 1,752 real-world AI incident reports from the AI Incident Database using Arcola AI's LLM pipeline, MIT Risk Reposit...
    as pastedMIT AI Incident Tracker](https://www.google.com/goto?url=CAESYgHrOzAVvIBT1SKzmKvcCJFQEqSproxHVX3xIh9jZYYXWwPIsQ3w0bzQGE_9PRcto_82rxLm6vn-XOV6-ZgPDyQQvgN_w8tq4m9OtczrSVTPuJm_nDHPTpekibPLTiAAlAX4) parse the database using taxanomies and LLM pipelines to categorize risks into structured analytical views. [[1](https://www.google.com/goto?url=CAESYgHrOzAVvIBT1SKzmKvcCJFQEqSproxHVX3xIh9jZYYXWwPIsQ3w0bzQGE_9PRcto_82rxLm6vn-XOV6-ZgPDyQQvgN_w8tq4m9OtczrSVTPuJm_nDHPTpekibPLTiAAlAX4)] Would you like to search for specific types of AI incidents (such as deepfakes, autonomous vehicles, or healthcare errors) or learn how to submit an incident report?
  3. Partnership on AI third_party
    AI Incident Database - Partnership on AI
    As AI technology is integrated into an increasing number of safety-critical systems — entering domains such as transportation, healthcare, and energy — the pote...
    as pastedAI Incident Database - Partnership on AI As AI technology is integrated into an increasing number of safety-critical systems — entering domains such as transportation, healthcare, and energy — the pote... OECD AI Policy Observatory AI Incident Database AI Incident Database Website Github Technical Educational Uploaded on Apr 25, 2024 The AI Incident Database is free and open-source project dedicated to indexin... Kaggle
  4. OECD AI Policy Observatory third_party
    AI Incident Database
    AI Incident Database Website Github Technical Educational Uploaded on Apr 25, 2024 The AI Incident Database is free and open-source project dedicated to indexin...
    as pastedAI Incident Database AI Incident Database About the Database The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment ... MIT AI Risk Initiative MIT AI Incident Tracker Overview: MIT AI Incident Tracker classifies 1,752 real-world AI incident reports from the AI Incident Database using Arcola AI's LLM pipeline, MIT Risk Reposit... Partnership on AI
  5. Kaggle third_party
    AI Incidents, Failures & Controversies Database - Kaggle
    32 verified incidents · 29 companies · 13 countries · 24 columns — Every major AI failure, documented 📌 Why This Dataset? AI incidents surged 56.4% in 2024 alo...
    as pastedAI Incidents, Failures & Controversies Database - Kaggle 32 verified incidents · 29 companies · 13 countries · 24 columns — Every major AI failure, documented 📌 Why This Dataset? AI incidents surged 56.4% in 2024 alo... LinkedIn·TIME [1:35](https://www.google.com/goto?url=CAESrQEB6zswFf3b9zemNZnPW9mi6gKhjIIMkppPLKLJDgTSLWN_bOLATV_YpfwmlhY9pR0EQzHNmeWDa55SW1UeTahm44Gn2NjTY3Yl6ss6UgoFi0pCyXrJbjX3v0Ls1XkWPGFuQUz_LYyPsGY6BZITeTiufCv-Bd0PbzJXRY-l2qsTUEzPzfKlnBCVADgaFejOSDSiRuP0Sx9TMYDQWWxJ6eGUuzJI6Ibc0tchfdeSRg)
  6. LinkedIn·TIME third_party
    AI Incident Database | TIME posted on the topic
    video, 1:35
    as pastedAI Incident Database | TIME posted on the topic
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