MIT AI Risk Repository

Browse AI risks

Name: MIT AI Risk Repository: AI Risk Database (browseable copy)
Creator: MIT AI Risk Initiative
License: https://creativecommons.org/licenses/by/4.0/

17 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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17 entries

50.04.02 · Risk Sub-Category

Legal and Rights-Related Risks

Discrimination/Bias (Discriminatory Activities)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.0 Other Other Other
50.01.04 · Risk Sub-Category

System and Operational Risks

Operational misuses (Automated decision-making)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.1 Human Intentional Post-deployment
50.02.09 · Risk Sub-Category

Content Safety Risks

Hate/Toxicity (Perpetuating Harmful Beliefs)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.1 AI Other Post-deployment
50.04.03 · Risk Sub-Category

Legal and Rights-Related Risks

Discrimination/Bias (Protected Characteristics)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.1 Other Other Other
50.02.00 · Risk Category

Content Safety Risks

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 Other Other Post-deployment
50.02.01 · Risk Sub-Category

Content Safety Risks

Violence and extremism (Supporting malicious organized groups)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.02 · Risk Sub-Category

Content Safety Risks

Violence and extremism (Celebrating suffering)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.03 · Risk Sub-Category

Content Safety Risks

Violence and extremism (Violent Acts)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.04 · Risk Sub-Category

Content Safety Risks

Violence and extremism (Depicting violence)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Unintentional Post-deployment
50.02.08 · Risk Sub-Category

Content Safety Risks

Hate/Toxicity (Hate Speech: Inciting/Promoting/Expressing Hatred)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.10 · Risk Sub-Category

Content Safety Risks

Hate/Toxicity (Offensive Language)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.11 · Risk Sub-Category

Content Safety Risks

Sexual Content (Adult Content)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.12 · Risk Sub-Category

Content Safety Risks

Sexual Content (Erotic)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Other Post-deployment
50.02.13 · Risk Sub-Category

Content Safety Risks

Sexual Content (Non-Consensual Nudity)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 Other Other Post-deployment
50.02.14 · Risk Sub-Category

Content Safety Risks

Sexual Content (Monetized)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 Other Other Post-deployment
50.02.16 · Risk Sub-Category

Content Safety Risks

Child Harm (Child Sexual Abuse)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Unintentional Post-deployment
50.02.17 · Risk Sub-Category

Content Safety Risks

Self-harm (Suidical and non-suicidal self injury)

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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024)

Domain 1 1.2 AI Unintentional Post-deployment

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.