MIT AI Risk Repository
Browse AI risks
27 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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18.01.00 · Risk Category
"AI systems under-, over-, or misrepresenting certain groups or generating toxic, offensive, abusive, or hateful content"
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"Mis-, under-, or over-representing certain identities, groups, or perspectives or failing to represent them at all (e.g. via homogenisation, stereotypes)"
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"Eroding trust in public information and knowledge"
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"Generating content that violates community standards, including harming or inciting hatred or violence against individuals and groups (e.g. gore, child sexual abuse material, profanities, identity attacks)"
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"Performing worse for some groups than others in a way that harms the worse-off group"
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18.03.00 · Risk Category
"AI systems leaking, reproducing, generating or inferring sensitive, private, or hazardous information"
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"Leaking, generating, or correctly inferring private and personal information about individuals"
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"Leaking, generating or correctly inferring hazardous or sensitive information that could pose a security threat"
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18.02.00 · Risk Category
"AI systems generating and facilitating the spread of inaccurate or misleading information that causes people to develop false beliefs"
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"Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"
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"Contaminating publicly available information with false or inaccurate information"
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18.04.00 · Risk Category
"AI systems reducing the costs and facilitating activities of actors trying to cause harm (e.g. fraud, weapons)"
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"Facilitating large-scale disinformation campaigns and targeted manipulation of public opinion"
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"Facilitating slander, defamation, or false accusations"
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"Facilitating the conduct of cyber attacks, weapon development, and security breaches"
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"Facilitating fraud, cheating, forgery, and impersonation scams"
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"Non-consensual use of one’s personal identity or likeness for unauthorised purposes (e.g. commercial purposes)"
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"Causing people to become emotionally or materially dependent on the model"
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18.06.00 · Risk Category
"AI systems amplifying existing inequalities or creating negative impacts on employment, innovation, and the environment"
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18.06.01 · Risk Sub-Category
Socioeconomic and environmental harms
Unfair distribution of benefits from model access
"Unfairly allocating or withholding benefits from certain groups due to hardware, software, or skills constraints or deployment contexts (e.g. geographic region, internet speed, devices)"
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"Amplifying social and economic inequality, or precarious or low-quality work"
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18.06.05 · Risk Sub-Category
Socioeconomic and environmental harms
Exploitative data sourcing and enrichment
"Perpetuating exploitative labour practices to build AI systems (sourcing, user testing)"
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"Appropriating, using, or reproducing content or data, including from minority groups, in an insensitive way, or without consent or fair compensation"
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"Substituting original works with synthetic ones, hindering human innovation and creativity"
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"Creating negative environmental impacts though model development and deployment"
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18.05.00 · Risk Category
"AI systems compromising human agency, or circumventing meaningful human control"
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"Exploiting user trust, or nudging or coercing them into performing certain actions against their will (c.f. Burtell and Woodside (2023); Kenton et al. (2021))"
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.