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

61.02.08 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Automation bias

"The tendency for humans to over-rely on AI models and systems, trusting their outputs without sufficient critical evaluation, which can lead to poor decision-making."

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

Domain 5 5.1 Human Unintentional Post-deployment
61.02.28 · Risk Sub-Category

Sources of systemic risks from general-purpose AI

Human choice of overreliance in critical sectors

"Heavy reliance on AI in critical sectors like finance or healthcare can exacerbate issues related to size, speed, interconnectivity, and complexity of the system."

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

Domain 5 5.1 Human Unintentional Post-deployment

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