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/

2 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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2 entries

61.02.15 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Complexity-induced knowledge gap

"The complexity of AI models and systems makes it challenging to demonstrate harm or establish a clear causal link between AI actions and their consequences."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

Domain 7 7.4 Other Unintentional Other
61.02.37 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Opaque AI networks

"The complexity and opacity of AI models and systems make it difficult to predict and manage their behavior."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

Domain 7 7.4 Other Other Post-deployment

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