MIT AI Risk Repository
Browse AI risks
6 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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08.03.00 · Risk Category
"The risks associated with the race to develop the first AGI, including the development of poor quality and unsafe AGI, and heightened political and control issues."
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08.05.00 · Risk Category
"The capabilities of current risk management and legal processes in the context of the development of an AGI."
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"The risks associated with containment, confinement, and control in the AGI development phase, and after an AGI has been developed, loss of control of an AGI."
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08.02.00 · Risk Category
"The risks associated with AGI goal safety, including human attempts at making goals safe, as well as the AGI making its own goals safe during self-improvement."
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08.06.00 · Risk Category
"The risks posed generally to humanity as a whole, including the dangers of unfriendly AGI, the suffering of the human race."
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08.04.00 · Risk Category
"The risks associated with an AGI without human morals and ethics, with the wrong morals, without the capability of moral reasoning, judgement"
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.