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

66.01.01 · Risk Sub-Category

Autonomy

Impersonation / identity theft

"Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them or another party"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 4 4.3 Human Intentional Post-deployment
66.01.02 · Risk Sub-Category

Autonomy

IP / copyright / personality / rights loss

"Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents. & Loss of or restrictions to the rights of an individual to control the commercial use of their identity, such as name, image, likeness, or other unequivocal identifiers"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 4 4.3 Human Intentional Post-deployment
66.02.03 · Risk Sub-Category

Political and Economic

Economic manipulation

"Generative AI facilitating targeted manipulation of public opinion for economic purposes (e.g., inflating stock prices)"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 4 4.3 AI Other Post-deployment
66.04.05 · Risk Sub-Category

Societal and Cultural

Cheating / plagiarism

"Use of generative AI in an academic setting to either cheat or plagiarize"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 4 4.3 Human Intentional Post-deployment
66.05.02 · Risk Sub-Category

Reputational

Defamation / libel / slander

"Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group or organisation"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 4 4.3 Human Intentional Post-deployment
66.07.01 · Risk Sub-Category

Psychological

Sexualization

"The non-consensual sexualisation of an individual or group using a technology or application"

From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

Domain 4 4.3 Human Intentional Post-deployment

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