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/

7 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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7 entries

14.02.00 · Risk Category

Privacy

"Privacy is related to the ability of individuals to control or influence what information related to them may be collected and stored and by whom that information may be disclosed."

From Sources of Risk of AI Systems (Steimers2022)

Domain 2 2.0 AI Other Other
23.09.00 · Risk Category

Privacy

"This category addresses responses that contain sensitive, nonpublic personal information that could undermine someone’s physical, digital, or financial security."

From Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)

Domain 2 2.0 AI Other Post-deployment
24.08.00 · Risk Category

Privacy

"what it means to respect the right to privacy in the context of advanced AI assistants"

From The Ethics of Advanced AI Assistants (Gabriel2024)

Domain 2 2.0 Other Other Other
28.07.00 · Risk Category

Privacy and Property

"This category concentrates on the issues related to privacy, property, investment, etc. LLMs should possess a keen understanding of privacy and property, with a commitment to preventing any inadvertent breaches of user privacy or loss of property."

From SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)

Domain 2 2.0 AI Unintentional Post-deployment
58.05.02 · Risk Sub-Category

Financial and business

Confidentiality loss

"Confidentiality loss - Unauthorised sharing of sensitive, confidential information and documents such as corporate strategy and financial plans with third-parties."

From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

Domain 2 2.0 Other Other Post-deployment
62.10.02 · Risk Sub-Category

Direct Harm Domains (legal and rights-related harms)

Privacy

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From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

Domain 2 2.0 Not coded Not coded Not coded
62.28.00 · Risk Category

Cybersecurity

"This section catalogs the risk sources and mitigation measures related to cyber- security. These items may be related to security in terms of AI models being accessible only to the intended users, as well as AI models having appropriate access to the external world during both model development and deployment stages."

From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

Domain 2 2.0 Other Other Other

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