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.

Export CSV Export JSON

7 entries

53.01.08 · Risk Sub-Category

Alignment failures in existing ML systems

Harms from increasingly agentic algorithmic systems

-

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Other Other
53.02.00 · Risk Category

Dangerous capabilities in AI systems

-

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Other Other
53.02.01 · Risk Sub-Category

Dangerous capabilities in AI systems

Situational awareness

"cases where a large language model displays awareness that it is a model, and it can recognize whether it is currently in testing or deployment;"

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Unintentional Other
53.02.04 · Risk Sub-Category

Dangerous capabilities in AI systems

Self-improvement

"examples of cases where AI systems improve AI systems"

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Intentional Other
53.02.05 · Risk Sub-Category

Dangerous capabilities in AI systems

Autonomous replication

"the ability of simple software to autonomously spread around the internet in spite of countermeasures (various software worms and computer viruses)"

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Intentional Post-deployment
53.02.06 · Risk Sub-Category

Dangerous capabilities in AI systems

Anonymous resource acquisition

"The demonstrated ability of anonymous actors to accumulate resources online (e.g., Satoshi Nakamoto as an anonymous crypto billionaire)"

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Intentional Post-deployment
53.02.07 · Risk Sub-Category

Dangerous capabilities in AI systems

Deception

"Cases of AI systems deceiving humans to carry out tasks or meet goals.139"

From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)

Domain 7 7.2 AI Intentional Post-deployment

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