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

61.01.10 · Risk Sub-Category

Types of systemic risks from general-purpose AI

Irreversible change

"Profound negative long-term changes to social structures, cultural norms, and human relationships that may be difficult or impossible to reverse."

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

Domain 5 5.2 Other Other Other
61.02.35 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Limited human oversight in decisions

"As AI models and systems gain autonomy, the ability of humans to oversee and intervene in decision-making processes diminishes."

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

Domain 5 5.2 Other Other Other
61.02.39 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Personal decision automation capabilities

"AI models and systems could decide or influence important personal decisions."

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

Domain 5 5.2 AI Intentional Post-deployment

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