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

45.01.07 · Risk Sub-Category

AI's inherent safety risks

Risks from data (Risks of illegal collection and use of data)

"The collection of AI training data and the interaction with users during service provision pose security risks, including collecting data without consent and improper use of data and personal information."

From AI Safety Governance Framework (TC2602024)

Domain 2 2.1 Human Other Other
45.01.10 · Risk Sub-Category

AI's inherent safety risks

Risks from data (Risks of data leakage)

"In AI research, development, and applications, issues such as improper data processing, unauthorized access, malicious attacks, and deceptive interactions can lead to data and personal information leaks."

From AI Safety Governance Framework (TC2602024)

Domain 2 2.1 Human Other Other
45.02.03 · Risk Sub-Category

Safety risks in AI Applications

Cyberspace risks (Risks of information leakage due to improper usage)

"Staff of government agencies and enterprises, if failing to use the AI service in a regulated and proper manner, may input internal data and industrial information into the AI model, leading to the leakage of work secrets, business secrets, and other sensitive business data."

From AI Safety Governance Framework (TC2602024)

Domain 2 2.1 Human Unintentional Post-deployment

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