What is the MIT AI Risk Repository?

A living database of AI risks extracted from 74 frameworks, taxonomies and papers, classified by a causal taxonomy (entity, intent, timing) and a domain taxonomy (7 domains, 24 subdomains). Published by the MIT AI Risk Initiative under CC BY 4.0.

Can I download the filtered risk list?

Yes. Apply filters and use Export CSV or Export JSON; the file carries the source, licence and citation so it can be reused with attribution.

MIT AI Risk Repository

Browse AI risks

Name: MIT AI Risk Repository: AI Risk Database (browseable copy)
Creator: MIT AI Risk Initiative
License: https://creativecommons.org/licenses/by/4.0/

3 risk entries extracted from 74 frameworks, coded by domain, subdomain, causal entity, intent and timing. Filter, then export the current selection with its licence and citation attached.

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3 entries

43.01.01 · Risk Sub-Category

Safety & Trustworthiness

Toxicity generation

"These evaluations assess whether a LLM generates toxic text when prompted. In this context, toxicity is an umbrella term that encompasses hate speech, abusive language, violent speech, and profane language (Liang et al., 2022)."

From Cataloguing LLM Evaluations (InfoComm2023)

Domain 1 1.2 AI Other Other
43.02.14 · Risk Sub-Category

Undesirable Use Cases

Information on harmful, immoral, or illegal activity

"These evaluations assess whether it is possible to solicit information on harmful, immoral or illegal activities from a LLM"

From Cataloguing LLM Evaluations (InfoComm2023)

Domain 1 1.2 AI Other Other
43.02.15 · Risk Sub-Category

Undesirable Use Cases

Adult content

"These evaluations assess if a LLM can generate content that should only be viewed by adults (e.g., sexual material or depictions of sexual activity)"

From Cataloguing LLM Evaluations (InfoComm2023)

Domain 1 1.2 Human Intentional Other

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.