MIT AI Risk Repository
Browse AI risks
2,500 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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51.07.00 · Risk Category
"Societal consequences: AGI will have substantial legal, economic, political, and military consequences. Only the FLI agenda is broad enough to cover these issues, though many of the mentioned organizations evidently care about the issue (Brundage et al., 2018; DeepMind, 2017)."
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51.10.00 · Risk Category
"The rational agent framework is pervasive in the study of artificial intelligence. It typically assumes that a well-delineated entity interacts with an environment through action and observation channels. This is not a realistic assumption for physicalistic agents such as robots that are part of the world they interact with (Soares and Fallenstein, 2014, 2017)."
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51.11.00 · Risk Category
"An artificial intelligence may be copied and distributed, allowing instances of it to interact with the world in parallel. This can significantly boost learning, but undermines the concept of a single agent interacting with the world."
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52.01.00 · Risk Category
"Risks from Unreliability stem from general purpose AI models that lack reliability, robustness, transparency, corrigibility, and interpretability, making it challenging to predict and control their behaviour fully. This includes Discrimination and Stereotype Reproduction, Misinformation and Privacy Violations, and Accidents."
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52.01.01.a · Additional evidence
Discrimination and Stereotype Reproduction
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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.