MIT AI Risk Repository
Browse AI risks
60 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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"Loss of money, income or value due to the use, misuse, or underperformance of a genAI application"
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"Damage, disruption or destruction of a business system and/or its components"
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"Loss of ability to take advantage of a financial or other opportunity, such as education, immigration, employability/securing a job"
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"AI systems leaking, reproducing, generating or inferring sensitive, private, hazardous, or secured information"
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"Use or misuse of a technology system in a manner that compromises fundamental human rights and freedoms"
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"Physical injury to an individual or group, or damage to physical property due to the use of misuse of a technology system or set of systems"
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"Accidental or deliberate loss of life, including suicide, extinction or cessation, due to the use or misuse of a technology system"
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"Physical pain, injury, illness, or disease suffered by an individual or group due to the malfunction, use or misuse of a technology system."
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"Physical deterioration of an individual or animal over time in the form of disease, organ failure, prolonged hospital stay or death, etc"
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"Damage to the environment caused by the use or misuse of a technology system or set of systems"
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.