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

10.01.00 · Risk Category

Bias and discrimination

"The decision process used by AI systems has the potential to present biased choices, either because it acts from criteria that will generate forms of bias or because it is based on the history of choices."

From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

Domain 1 1.1 AI Unintentional Post-deployment
10.02.00 · Risk Category

Risk of Injury

"Poorly designed intelligent systems can cause moral, psychological, and physical harm. For example, the use of predictive policing tools may cause more people to be arrested or physically harmed by the police."

From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

Domain 1 1.1 Human Unintentional Post-deployment
10.03.00 · Risk Category

Data Breach/Privacy & Liberty

"The risks associated with the use of AI are still unpredictable and unprecedented, and there are already several examples that show AI has made discriminatory decisions against minorities, reinforced social stereotypes in Internet search engines and enabled data breaches."

From Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)

Domain 1 1.1 AI Unintentional Post-deployment

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