What is the MIT AI Risk Repository?

A living database of AI risks extracted from 74 frameworks, taxonomies and papers, classified by a causal taxonomy (entity, intent, timing) and a domain taxonomy (7 domains, 24 subdomains). Published by the MIT AI Risk Initiative under CC BY 4.0.

Can I download the filtered risk list?

Yes. Apply filters and use Export CSV or Export JSON; the file carries the source, licence and citation so it can be reused with attribution.

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/

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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6 entries

19.01.05 · Risk Sub-Category

Technological, Data and Analytical AI Risks

Lack of AI experts with comprehensive AI knowledge

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.5 Human Unintentional Other
19.04.04 · Risk Sub-Category

Social AI Risks

Lack of knowledge and social acceptance regarding AI

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.5 Not coded Not coded Not coded
19.06.00 · Risk Category

Legal AI Risks

"Legal and regulatory risks comprise in particular the unclear definition of responsibilities and accountability in case of AI failures and autonomous decisions with negative impacts (Reed, 2018; Scherer, 2016). Another great risk in this context refers to overlooking the scope of AI governance and missing out on important governance aspects, resulting in negative consequences (Gasser & Almeida, 2017; Thierer et al., 2017)."

From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.5 Other Unintentional Other
19.06.01 · Risk Sub-Category

Legal AI Risks

Unclear definition of responsibilities and accountability for AI judgments and their consequences

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.5 AI Unintentional Post-deployment
19.06.03 · Risk Sub-Category

Legal AI Risks

Great scope and ubiquity of AI make appropriate governance difficult, coverage of governance scope almost impossibl

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.5 Other Unintentional Other
19.06.05 · Risk Sub-Category

Legal AI Risks

Capturing future AI development and their threats with appropriate mechanism

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.5 Not coded Not coded Not coded

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.