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/

4 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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4 entries

07.01.00 · Risk Category

Misuse

"The misuse class includes elements such as the potential for cyber threat actors to execute exploits with greater speed and impact or generate disinformation (such as "deep fake" media) at accelerated rates and effectiveness"

From Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)

Domain 4 4.0 Human Intentional Post-deployment
07.04.00 · Risk Category

Structural

"Structural risks are concerned with how AI technologies "shape and are shaped by the environments in which they are developed and deployed""

From Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)

Domain 6 6.0 Other Other Other
07.03.00 · Risk Category

Agential

"While there are multiple types of intelligent agents, goal-based, utility-maximizing, and learning agents are the primary concern and the focus of this research"

From Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)

Domain 7 7.1 AI Intentional Other
07.02.00 · Risk Category

Accidents

"Accidents include unintended failure modes that, in principle, could be considered the fault of the system or the developer"

From Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)

Domain 7 7.3 Other Unintentional Other

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