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/

4 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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4 entries

61.01.04 · Risk Sub-Category

Types of systemic risks from general-purpose AI

Economy

"Economic disruptions ranging from large impacts on the labor market to broader economic changes that could lead to exacerbated wealth inequality, instability in the financial system, labor exploitation or other economic dimensions."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

Domain 6 6.2 Other Other Post-deployment
61.02.01 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Ability to automate jobs

"The ability to automate jobs by AI models and systems can lead to significant job displacement, economic disruption, and social inequality."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

Domain 6 6.2 AI Intentional Post-deployment
61.02.10 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Capabilities that enable substitution of humans

"The progressive replacement of human roles by AI models and systems can lead to societal disruption."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

Domain 6 6.2 AI Intentional Post-deployment
61.02.25 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Exploitation in AI development

"Outsourcing tasks like data labeling to low-income countries can perpetuate inequality."

From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)

Domain 6 6.2 Human Other Pre-deployment

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