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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52.01.01.b · Additional evidence
Discrimination and Stereotype Reproduction
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53.03.00 · Risk Category
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53.04.00 · Risk Category
"Work focused at understanding indirect ways in which AI could contribute to existential threats, such as by shaping societal “turbulence”193 and other existential risk factors.194 This covers various long-term impacts on societal parameters such as science, cooperation, power, epistemics, and values:"
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53.04.02 · Risk Sub-Category
Indirect AI contributions to existential risks
Hazardous malicious uses
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53.04.05 · Risk Sub-Category
Indirect AI contributions to existential risks
Other diffuse societal harms
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54.01.00 · Risk Category
"A major role of the current AI ethics movement is to draw attention to overlooked side-effects, costs, and harms of building and deploying AI systems, particularly as they befall existing marginalized groups:"
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55.01.00 · Risk Category
"Scientific progress: AI could lead to very rapid scientific progress which would likely have long-term impacts, but it’s very unclear if these would be positive or negative. Much depends on the extent to which risky scientific domains are sped up relative to beneficial or risk-reducing ones, on who uses the technology enabled by this progress, and on how it is governed."
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55.01.01.a · Additional evidence
Risks from accelerating scientific progress
Eased development of technologies that make a global catastrophe more likely
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55.01.02.a · Additional evidence
Risks from accelerating scientific progress
Faster scientific progress makes it harder for governance to keep pace with development
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55.05.00.a · Additional evidence
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55.05.01.a · Additional evidence
AI leads to humans losing control of the future
Risks from AIs developing goals and values that are different from humans
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55.05.02.a · Additional evidence
AI leads to humans losing control of the future
Risks from delegating decision-making power to misaligned AIs
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55.05.02.b · Additional evidence
AI leads to humans losing control of the future
Risks from delegating decision-making power to misaligned AIs
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56.08.00 · Risk Category
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56.09.00 · Risk Category
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56.12.00 · Risk Category
Impacts resulting from interactions with external societal, political, and economic systems
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56.19.00.a · Additional evidence
Capabilities that increase the likelihood of existential risk
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56.19.00.b · Additional evidence
Capabilities that increase the likelihood of existential risk
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57.01.00 · Risk Category
"Physical hazards can cause physical harm to users or to the public. It may happen through the AI system endorsing or enabling behavior that causes physical harm to the user or to others."
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57.02.00 · Risk Category
"Nonphysical hazards are unlikely to cause physical harm, but they may elicit criminal behavior and lead to other individual or societal harm."
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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.