[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], [2], [3]] 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], [2]] * 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], [2], [3]] * 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], [2]] Connected Tools * [