{
 "row": "mit-ai-risk-repository",
 "address": "mit ai risk repository",
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   "quote": "Our mid-level Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental, and (7) AI system safety, failures, & limitations. These are further divided into 23 subdomains.",
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   "quote": "The AI Risk Repository is, to our knowledge, the first attempt to rigorously curate, analyze, and extract AI risk frameworks into a publicly accessible, comprehensive, extensible, and categorized risk database.",
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   "quote": "Yet researchers, policymakers, and technology companies lack shared terminology for discussing AI risks.",
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   "quote": "Consider \"privacy\": one framework uses this term to describe a model's ability to leak sensitive training data, while another uses it to mean freedom from government surveillance.",
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   "quote": "We systematically analyzed every major AI risk framework published to date-74 frameworks containing 1,725 distinct risks-and organized them into a unified system.",
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   "quote": "Our two classification systems reveal important patterns: contrary to common assumptions, human decisions cause nearly as many AI risks (38%) as the AI systems themselves (42%).",
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   "quote": "[Submitted on 14 Aug 2024 (v1), last revised 5 May 2026 (this version, v3)] … Authors:Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy, Jess Graham, Michael Noetel, Risto Uuk, James Dao, Soroush Pour, Stephen Casper, Neil Thompson",
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   "quote": "This paper has been published in Patterns (Cell Press, 2026) under a CC BY 4.0 licence … Patterns 101517 (2026)",
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   "quote": "We’re pleased to share that Version 4 of the MIT AI Risk Repository is now live.",
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   "locus": "What's new in Version 4",
   "quote": "9 newly added frameworks, spanning government & industry reports, peer reviewed journal articles, conference papers and preprints, … ~200 new AI risk categories, expanding the repository to over 1,700 coded risks",
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   "locus": "Newly added frameworks: Li et al., 2025",
   "quote": "This preprint presents a taxonomy of Generative AI Failures based on a systematic analysis of 499 publicly reported AI incidents.",
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   "quote": "The MIT AI Risk Initiative (AIRI) provides authoritative data and frameworks to help decision-makers across the AI ecosystem identify, prioritize, and manage risks from AI.",
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   "quote": "250+ … Citations … Including the 2025 and 2026 International AI Safety Reports … 290,000+ … Website users … One of the top sources returned for search queries on AI risks and incidents",
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   "locus": "What is the AI Risk Repository?",
   "quote": "The AI Risk Repository has three parts: … The AI Risk Database captures 1700+ risks extracted from 74 existing frameworks and classifications of AI risks",
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   "quote": "AI: Due to a decision or action made by an AI system … Human: Due to a decision or action made by humans … Other: Due to some other reason or ambiguous",
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   "locus": "FAQ: How did you create the AI Risk Repository?",
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   "quote": "Has potential for errors and subjective bias; we used a single expert reviewer for extraction and coding. … May include poorly communicated or unclear risks: we extracted risks as presented.",
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   "locus": "FAQ: limitations",
   "quote": "Limited to risks from 65 documents (although we screened >17,000 records after a systematic search of peer-reviewed and gray literature) … May be missing emerging, domain-specific risks, and unpublished risks.",
   "claim": "limits: 65 documents (from >17,000 screened); may miss emerging, domain-specific and unpublished risks",
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   "quote": "Our taxonomies prioritize clarity and simplicity over nuance. … Our taxonomies do not categorize risks by potentially important factors such as risk impact, likelihood, or discuss the interaction between risks.",
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   "locus": "FAQ: other databases",
   "quote": "What are some other databases of AI risks? … https://attack.mitre.org/ … https://airisk.io/ … https://avidml.org/#efforts … https://www.aitracker.org/#catalog-tabs",
   "claim": "other databases of AI risks named by the repository: MITRE ATT&CK, airisk.io, AVID, aitracker.org",
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   "locus": "FAQ: two taxonomies",
   "quote": "Because these classification systems were so different, it was hard to unify them; high-level risk categories such as “Diffusion of responsibility” or “Humans create dangerous AI by mistake” do not map to narrower categories like “Misuse” or “Noisy Training Data,” or vice versa.",
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   "source": "B11",
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   "quote": "To reference our repository, you can cite our pre-print paper:",
   "claim": "the repository cited by its preprint",
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   "quote": "Use this file to orient LLMs and AI agents to the main AIRI resources at airisk.mit.edu and the related AI Risk Navigator.",
   "claim": "a file addressed to LLMs and AI agents, orienting them to the Initiative's resources",
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   "quote": "Refer to the project as the MIT AI Risk Initiative, or AIRI when the abbreviation is useful. … Treat AIRI resources as living datasets. Check the linked pages before giving exact counts, dates, version numbers, or coverage claims.",
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   "locus": "Important guidance for AI assistants",
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   "origin": "own_page",
   "locus": "Suggested Answering Behavior",
   "quote": "For questions about observed harms, use the MIT AI Incident Tracker and distinguish reported incidents from predicted risks. … For cross-dataset questions, use the MIT AI Risk Navigator, but note that it is a research prototype and may contain preliminary analyses.",
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   "origin": "own_page",
   "locus": "Core AIRI Pages",
   "quote": "[AI Risk Repository](https://airisk.mit.edu/risks): Living database of AI risks, including the AI Risk Database, Causal Taxonomy, Domain Taxonomy, methodology notes, use cases, limitations, data access links, and citation guidance.",
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 },
 "field_sources": {
  "B1": "MIT AI Risk Initiative — MIT AI Risk Initiative",
  "B2": "MIT AI Risk Initiative — AI Risk Repository Report updated (April 2025)",
  "B3": "MIT Initiative on the Digital Economy — MIT Researchers Create an AI Risk Repository - MIT Initiative on the Digital Economy",
  "B4": "MIT FutureTech — FutureTech",
  "B5": "MIT AI Risk Navigator — MIT AI Risk Navigator",
  "B6": "arXiv — [2408.12622] The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence",
  "B7": "MIT AI Risk Initiative — Repository Update: December 2025",
  "B8": "MIT AI Risk Initiative — About",
  "B9": "LinkedIn — MIT AI Risk Initiative | LinkedIn",
  "B10": "ScienceDirect.com — The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence - ScienceDirect",
  "B11": "MIT AI Risk Initiative — AI Risk Repository (airisk.mit.edu/risks)",
  "B12": "MIT AI Risk Initiative — llms.txt (airisk.mit.edu/llms.txt)",
  "W1": "Wikipedia — no article"
 }
}