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/

7 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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7 entries

66.03.00 · Risk Category

Misinformation Harms

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"AI systems generating and facilitating the spread of inaccurate or misleading information that causes people to develop false beliefs"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.1 AI Other Post-deployment
66.03.01 · Risk Sub-Category

Misinformation Harms

Propagating misconceptions / false beliefs

"Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.1 AI Other Post-deployment
66.09.06 · Risk Sub-Category

Privacy and Security

Distortion

"disseminating false or misleading information about people"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.1 Other Intentional Other
66.10.01 · Risk Sub-Category

Human Rights and Civil Liberties

Erosion of due process

"Restrictions to or loss of liberty as a result of use or misuse of a generative AI in a legal process"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.1 Human Other Post-deployment
66.03.02 · Risk Sub-Category

Misinformation Harms

Pollution of information ecosystems

"Contaminating publicly available information with false or inaccurate information (i.e., the generative tool's output is disseminated beyond the end user)"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.2 Other Other Post-deployment
66.03.03 · Risk Sub-Category

Misinformation Harms

Erosion of trust in public information

"Eroding trust in public information and knowledge"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.2 Other Other Other
66.04.01 · Risk Sub-Category

Societal and Cultural

Overburdening ecosystems

"Pollution of a space/ecosystem that is expected to be free of AI involvement/influence (e.g., creative material submission portals, job applications)"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 3 3.2 Other Other Other

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