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

36.01.00 · Risk Category

Trust Concerns

"These concerns encompass issues such as data privacy, technology misuse, errors in machine actions, bias, technology robustness, inexplicability, and transparency."

From Benefits or Concerns of AI: A Multistakeholder Responsibility (Sharma2024)

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36.02.00 · Risk Category

Ethical Concerns

"The second category encompasses ethical concerns associated with AI, including unemployment and job displacement, inequality, unfairness, social anxiety, loss of human skills and redundancy, and the human-machine symbiotic relationship."

From Benefits or Concerns of AI: A Multistakeholder Responsibility (Sharma2024)

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36.03.00 · Risk Category

Disruption Concerns

"Lastly, the third category of concerns pertains to the disruption of social and organizational culture, supply chains, and power structures caused by AI."

From Benefits or Concerns of AI: A Multistakeholder Responsibility (Sharma2024)

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