[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] mit ai risk repository [SYSTEM] The [MIT AI Risk Repository](https://www.google.com/goto?url=CAESTwHrOzAVzAsEkjRPqis_Zzgy92qO6F3tmBvgjtuUs58DdhTBaxedxEPqgRTuYwMTN2NTt-BqUqcWh4mhJAoKt-ASIezdHuKzbPccHrmoQg0) is a living, open-access database developed by MIT FutureTech that catalogs and standardizes artificial intelligence risks from dozens of global frameworks. [[1](https://www.google.com/goto?url=CAESTwHrOzAVzAsEkjRPqis_Zzgy92qO6F3tmBvgjtuUs58DdhTBaxedxEPqgRTuYwMTN2NTt-BqUqcWh4mhJAoKt-ASIezdHuKzbPccHrmoQg0), [2](https://www.google.com/goto?url=CAEShwEB6zswFYB__Br6vrJAk0QiMgjyJCtHj7AX6YnJauDb08vZFK_yDQUBQaRGksT1WfTc3zQsEzVHzCYmpgFja4KX17GTGOi-i-60hrUWC4M_RbwAZC4QZikGcgRCjcYI2rRzYhReTPOVkt1XYf4fDARSopztJOyct-mPvhMORUaSo3r5KFmWN9I), [3](https://www.google.com/goto?url=CAESdQHrOzAVHSmzTVex5rfdqNxwBhLCXug__yTwEUZGTCfpZdrY5vP4JZJV-y_ZGa-Kc3d1v2fSod-rFaGXObNGNdjawwNEkf10ERGY3B28BbT-uHvr9KNvY_60vuNo7ae3Sy-_AnHdh4sOdBhoa56aR7pYLIz_4Q)] Key Features and Scope * Scale: The database compiles over 1,700 distinct AI risks extracted from more than 65 published frameworks, industry guidelines, and policy documents. [[1](https://www.google.com/goto?url=CAESkAEB6zswFXimyfJJSRuxK0wjkLoQJAaCk3jLOBZX10rQWIEAEoayFZl1QY3Uf2gzkE7jpDCjyKEvHYx3zQplvD54UX3yo9sRxikpBaK3YMAJBm0cy7_FV1Plly04e5-z2aqKS4DV2CHdlZ7KZ7UgMMXS9ICWZJ0P4N9EvCQzmuXgjADgLPN8YHnL6qhH6pM3OAc), [2](https://www.google.com/goto?url=CAEScQHrOzAVX-iQCWDCcVVcFzbfswt7arP1K7JHbYMyd_o6KJaR0fy8rpGnF4H2t1yETJ-5LEyt1MTShdyBGdpc04YpwiAuuZXyfgQGerKDOHQfN1s_UR0YR2RjG0bn7lINKGH9JQ-AlC5_1mkouxSMmGHd)] * Causal Taxonomy: Classifies risks based on the responsible entity (human vs. AI), intent (intentional vs. unintentional), and timing (pre-deployment vs. post-deployment). Findings indicate that roughly 38% to 42% of risks stem directly from AI systems, while a large share originates from human decisions during design and deployment. [[1](https://www.google.com/goto?url=CAESewHrOzAVQDBrpJnadXp88WKlflunwUZiSv9-Pr91z1vRVaNxzjyzoYWRHgMEogB28zaD-g-uJn_7nak4qPU_E5cWj5bwJj_uYaC9TNabI3dA4jJvhBOH6MyEWgh8Lmof9Xv0NBTceryrU06q6Z_WMnOCIwIevYkYMuvN8g), [2](https://www.google.com/goto?url=CAESWAHrOzAVOQDIzrB6cEf0T5gsEPJH1rBn628OYpXAcGtK0CwKGSkxTAdGkiAsRElisiPgDm5ahlAEUe4Sn5WwC3c5AWhVxUgMcWBHBM65CzQpw9uaRPwiEiY), [3](https://www.google.com/goto?url=CAESdQHrOzAVHSmzTVex5rfdqNxwBhLCXug__yTwEUZGTCfpZdrY5vP4JZJV-y_ZGa-Kc3d1v2fSod-rFaGXObNGNdjawwNEkf10ERGY3B28BbT-uHvr9KNvY_60vuNo7ae3Sy-_AnHdh4sOdBhoa56aR7pYLIz_4Q)] * Domain Taxonomy: Organizes risks into 7 core domains and 24 subdomains: 1. Discrimination & toxicity 2. Privacy & security 3. Misinformation 4. Malicious actors & misuse 5. Human-computer interaction 6. Socioeconomic & environmental 7. AI system safety, failures, & limitations [[1](https://www.google.com/goto?url=CAEScwHrOzAVaSxWbWa_CEIrc6ZNGAkhxv3XEAdCvSLaaoNqeR_0irQmOHF3gfDNraaPyJ34oBnHt8dBciHZae6jZGERUBoJzULWZD3Ab5sOyNr0ep-gZXAg1cusABV3LU1y8_4VHbhs6lO9mtLMn_LjPIxqCiw), [2](https://www.google.com/goto?url=CAESdQHrOzAVHSmzTVex5rfdqNxwBhLCXug__yTwEUZGTCfpZdrY5vP4JZJV-y_ZGa-Kc3d1v2fSod-rFaGXObNGNdjawwNEkf10ERGY3B28BbT-uHvr9KNvY_60vuNo7ae3Sy-_AnHdh4sOdBhoa56aR7pYLIz_4Q)] Connected Tools * [MIT AI Risk Navigator](https://www.google.com/goto?url=CAESVwHrOzAVVkU1PAZVWuI1j4pI6qUcKaC2IgP6hbq57HPdCiSZZafGwYhvngxWSJqeH5kYZHr5KhLF--3eVzwivkze75A0RPhWrJoTNf65LiyzTs5RxgL5xw): An interactive web tool that links the repository to real-world AI incidents, global governance frameworks (such as the EU AI Act), and risk mitigations. [[1](https://www.google.com/goto?url=CAESVwHrOzAVVkU1PAZVWuI1j4pI6qUcKaC2IgP6hbq57HPdCiSZZafGwYhvngxWSJqeH5kYZHr5KhLF--3eVzwivkze75A0RPhWrJoTNf65LiyzTs5RxgL5xw), [2](https://www.google.com/goto?url=CAESTwHrOzAVzAsEkjRPqis_Zzgy92qO6F3tmBvgjtuUs58DdhTBaxedxEPqgRTuYwMTN2NTt-BqUqcWh4mhJAoKt-ASIezdHuKzbPccHrmoQg0), [3](https://www.google.com/goto?url=CAESewHrOzAVQDBrpJnadXp88WKlflunwUZiSv9-Pr91z1vRVaNxzjyzoYWRHgMEogB28zaD-g-uJn_7nak4qPU_E5cWj5bwJj_uYaC9TNabI3dA4jJvhBOH6MyEWgh8Lmof9Xv0NBTceryrU06q6Z_WMnOCIwIevYkYMuvN8g)] * Incident Tracker: Collaborates with the AI Incident Database to connect abstract risks to documented real-world harms. [[1](https://www.google.com/goto?url=CAESVAHrOzAVSszqIW6XXawdcppgtO9EF6-hg_ZlY-BBwrOujqPEv817AUoHuRQ2wa_VRDETDslzjFfLrgCsBLtdNpC0RKkjmPe2pJBeGefa1S_vwOkg-w), [2](https://www.google.com/goto?url=CAEScQHrOzAVX-iQCWDCcVVcFzbfswt7arP1K7JHbYMyd_o6KJaR0fy8rpGnF4H2t1yETJ-5LEyt1MTShdyBGdpc04YpwiAuuZXyfgQGerKDOHQfN1s_UR0YR2RjG0bn7lINKGH9JQ-AlC5_1mkouxSMmGHd)] Would you like to explore how to use the repository for a specific industry audit, regulatory compliance check (such as the EU AI Act), or risk assessment? MIT AI Risk Initiative MIT AI Risk Initiative Tools and Data: Expert Survey (expert consensus on severe AI risks, vulnerabilities, and responsibilities), AI Risk Repository (living repository of AI risks), ... MIT AI Risk Initiative AI Risk Repository Report updated (April 2025) AI Risk Repository Report updated (April 2025) * What's new in this update Integration of 22 new AI risk frameworks, bringing the total number of included docum... MIT Initiative on the Digital Economy MIT Researchers Create an AI Risk Repository - MIT Initiative on the Digital Economy Overview: MIT FutureTech’s AI Risk Repository catalogs 777 risks across 43 AI frameworks, providing source evidence, citations, and dual search taxonomies (doma... MIT FutureTech FutureTech We construct our Repository with a systematic review of taxonomies and other structured classifications of AI risk followed by an expert consultation. We develo... MIT AI Risk Navigator MIT AI Risk Navigator MIT AI Risk Navigator Home Browse MIT AI Risk Navigator Explore the full landscape of AI risk in one place. The Navigator connects MIT's AI Risk Repository data... arXiv [2408.12622] The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence Overview: The AI Risk Repository catalogs and standardizes fragmented artificial intelligence risk terminology by analyzing 74 major risk frameworks containing ... MIT AI Risk Initiative Repository Update: December 2025 Foundational Challenges in Assuring Alignment and Safety of Large Language Models A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Str... MIT AI Risk Initiative About No single dataset captures all of this, so we maintain several connected workstreams, each answering a different question. * AI Risk Repository What are the ris... LinkedIn MIT AI Risk Initiative | LinkedIn The initiative includes the MIT AI Risk Repository, a living database of more than 1,700 AI risks, the AI Incident Tracker, a collaboration with the Responsible... ScienceDirect.com The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence - ScienceDirect * Practical implications for technology management. Our AI Risk Repository provides concrete tools for managing AI's societal impact across multiple stakeholder...