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/

2 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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2 entries

13.01.06 · Risk Sub-Category

Impacts: The Technical Base System

Environmental Costs

"The computing power used in training, testing, and deploying generative AI systems, especially large scale systems, uses substantial energy resources and thereby contributes to the global climate crisis by emitting greenhouse gasses."

From Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023)

Domain 6 6.6 Human Unintentional Other
13.02.05 · Risk Sub-Category

Impacts: People and Society

Ecosystem and Environment

"Impacts at a high-level, from the AI ecosystem to the Earth itself, are necessarily broad but can be broken down into components for evaluation."

From Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023)

Domain 6 6.6 Human Intentional Post-deployment

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