[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](https://www.google.com/goto?url=CAESVAHrOzAVhCp3r30WDl_s74Tm7Hc1aBx4m9gUEfwR4rqNmGz-8J-kaBBPEf7oCzpPsVYpI0IjKz6xRnV6Cp3Gh2ovoUhN7Tqyc-CNOsFltlelT6uSJw), [2](https://www.google.com/goto?url=CAESbwHrOzAVQJB-mdnnQ6r52BIfaBkZdpvIYmeG5iTBUzeQEwySxYcKr4WzFleLjuPKMrQKQTK3W2B9l2jGnS5pLy19F1B1fTurJ-XoVDm2xfief4Gqb_ptw2t6ueReQR1dw3n-38GlP31Dx2C5MCLIXg)] 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](https://www.google.com/goto?url=CAESdQHrOzAVEAwZDxstOqfa0VkpGaNmKMMUp0iksIt5wKMhQJlSZH2s4ag2eyxAImW5bXA_shrWdHkDg9o2go4aRguIXp0j_UcNeCVAdipEGHaZZwzksRC_l2QRbFfdaIIX3dmL48i7pJ14tjxs2OqAzRY1Ee9MoA), [2](https://www.google.com/goto?url=CAESVAHrOzAVhCp3r30WDl_s74Tm7Hc1aBx4m9gUEfwR4rqNmGz-8J-kaBBPEf7oCzpPsVYpI0IjKz6xRnV6Cp3Gh2ovoUhN7Tqyc-CNOsFltlelT6uSJw)] * Scope of Harms: Documents issues spanning algorithmic bias, discrimination, privacy leaks, misinformation, deepfakes, autonomous vehicle accidents, and safety-critical system failures. [[1](https://www.google.com/goto?url=CAESYgHrOzAVvIBT1SKzmKvcCJFQEqSproxHVX3xIh9jZYYXWwPIsQ3w0bzQGE_9PRcto_82rxLm6vn-XOV6-ZgPDyQQvgN_w8tq4m9OtczrSVTPuJm_nDHPTpekibPLTiAAlAX4), [2](https://www.google.com/goto?url=CAESrQEB6zswFf3b9zemNZnPW9mi6gKhjIIMkppPLKLJDgTSLWN_bOLATV_YpfwmlhY9pR0EQzHNmeWDa55SW1UeTahm44Gn2NjTY3Yl6ss6UgoFi0pCyXrJbjX3v0Ls1XkWPGFuQUz_LYyPsGY6BZITeTiufCv-Bd0PbzJXRY-l2qsTUEzPzfKlnBCVADgaFejOSDSiRuP0Sx9TMYDQWWxJ6eGUuzJI6Ibc0tchfdeSRg), [3](https://www.google.com/goto?url=CAESdQHrOzAVEAwZDxstOqfa0VkpGaNmKMMUp0iksIt5wKMhQJlSZH2s4ag2eyxAImW5bXA_shrWdHkDg9o2go4aRguIXp0j_UcNeCVAdipEGHaZZwzksRC_l2QRbFfdaIIX3dmL48i7pJ14tjxs2OqAzRY1Ee9MoA)] * Growth & Trends: Incidents tracked by the database have surged significantly, with deepfake and scam-related entries multiplying rapidly alongside broader media scrutiny. [[1](https://www.google.com/goto?url=CAESlAEB6zswFezfQHSC18B8ow9a-lbU8UGAl4OiqVmTAZSeCLapW8W9uc6WXeNiVXCqD_UUw1B4MiI-larfUCzACrrh6ZGlH5RBcmTNdQ5BYqRcB8U4jUmHLuJQmWGrAdY0ON7fU91djIE99PBqC6HRjfTuFmeaFrTqMKv08fi0xr-3mTMIMTGLCEh0p2Y3-Xyg-mjdbuGG), [2](https://www.google.com/goto?url=CAESrQEB6zswFf3b9zemNZnPW9mi6gKhjIIMkppPLKLJDgTSLWN_bOLATV_YpfwmlhY9pR0EQzHNmeWDa55SW1UeTahm44Gn2NjTY3Yl6ss6UgoFi0pCyXrJbjX3v0Ls1XkWPGFuQUz_LYyPsGY6BZITeTiufCv-Bd0PbzJXRY-l2qsTUEzPzfKlnBCVADgaFejOSDSiRuP0Sx9TMYDQWWxJ6eGUuzJI6Ibc0tchfdeSRg)] * Research Extensions: Projects like the [MIT 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? AI 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 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... 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 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... LinkedIn·TIME [1:35](https://www.google.com/goto?url=CAESrQEB6zswFf3b9zemNZnPW9mi6gKhjIIMkppPLKLJDgTSLWN_bOLATV_YpfwmlhY9pR0EQzHNmeWDa55SW1UeTahm44Gn2NjTY3Yl6ss6UgoFi0pCyXrJbjX3v0Ls1XkWPGFuQUz_LYyPsGY6BZITeTiufCv-Bd0PbzJXRY-l2qsTUEzPzfKlnBCVADgaFejOSDSiRuP0Sx9TMYDQWWxJ6eGUuzJI6Ibc0tchfdeSRg) AI Incident Database | TIME posted on the topic