MIT AI Risk Repository
Browse AI risks
94 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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50.01.04.a · Additional evidence
Operational misuses (Automated decision-making)
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50.01.05.a · Additional evidence
Operational misuses (Autonomous unsafe operation of systems)
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50.01.06.a · Additional evidence
Operational misuses (Advice in heavily regulated industries)
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50.02.01.a · Additional evidence
Violence and extremism (Supporting malicious organized groups)
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50.02.02.a · Additional evidence
Violence and extremism (Celebrating suffering)
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50.02.05.a · Additional evidence
Violence and extremism (Weapon Usage and Development)
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50.02.08.a · Additional evidence
Hate/Toxicity (Hate Speech: Inciting/Promoting/Expressing Hatred)
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50.02.15.a · Additional evidence
Child Harm (Endangerment, Harm, or Abuse of Children)
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50.02.17.a · Additional evidence
Self-harm (Suidical and non-suicidal self injury)
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50.03.03.a · Additional evidence
Political usage (Deterring democratic participation)
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50.04.01.a · Additional evidence
Legal and Rights-Related Risks
Fundamental Rights (Violating Specific Types of Rights)
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50.04.02.a · Additional evidence
Legal and Rights-Related Risks
Discrimination/Bias (Discriminatory Activities)
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50.04.03.a · Additional evidence
Legal and Rights-Related Risks
Discrimination/Bias (Protected Characteristics)
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50.04.04.a · Additional evidence
Legal and Rights-Related Risks
Privacy (Unauthorized Privacy Violations)
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50.04.06.a · Additional evidence
Legal and Rights-Related Risks
Criminal Activities (Illegal/Regulated Substances)
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50.04.07.a · Additional evidence
Legal and Rights-Related Risks
Criminal Activities (Illegal Services/Exploitation)
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50.04.08.a · Additional evidence
Legal and Rights-Related Risks
Criminal Activities (Other Unlawful/Criminal Activities)
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Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.
Frequently asked questions
Where do these risk entries come from?
The MIT AI Risk Repository, which extracts risks from dozens of published frameworks, taxonomies and papers and codes each one by domain and subdomain, and by a causal taxonomy of entity, intent and timing. This is a browseable copy, attributed and openly licensed, not original research.
What do entity, intent and timing mean?
They are the causal coding. Entity is whether a human or the AI system is the cause; intent is whether the harm was intentional or not; timing is whether it arises before or after deployment. Together they let you separate misuse from malfunction.
Can I export the results?
Yes, any filtered set exports as CSV or JSON, and every export carries the upstream source, licence and citation with it, because attribution is a condition of the licence rather than a courtesy.
What is the MIT AI Risk Repository?
A living database of AI risks extracted from published frameworks, taxonomies and papers, classified by a causal taxonomy of entity, intent and timing and by a domain taxonomy of seven domains and 24 subdomains. It is published by the MIT AI Risk Initiative under CC BY 4.0.