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/

54 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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54 entries · page 2 of 2

70.03.03 · Risk Sub-Category

Economic Risks

Power concentration

"EAI deployment could accelerate the consolidation of economic and political power. Unlocking increasing returns to capital for EAI owners, EAI will decrease employers’ reliance on and responsiveness to the needs of human labor [101]."

From Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025)

Domain 6 6.1 AI Unintentional Post-deployment
72.04.02 · Risk Sub-Category

Systemic Risks

Market Concentration and Infrastructure Dependencies:

"Over-reliance on a limited number of dominant AI providers could create critical single points of failure across essential services. Market concentration in AI development may lead to scenarios where technical failures, cyber-attacks, or policy decisions by a few companies could simultaneously disrupt healthcare systems, financial services, transportation networks, and communication infrastructure, creating cascading failures across interconnected critical systems."

From Frontier AI Risk Management Framework (v1.0) (Tse2025)

Domain 6 6.1 Human Unintentional Other
72.04.03 · Risk Sub-Category

Systemic Risks

Global AI Research and Development Divides:

"Asymmetric AI development capabilities between nations could exacerbate geopolitical tensions and create new forms of technological dependency. Countries lacking advanced AI capabilities may become increasingly dependent on foreign AI systems for critical functions, while AI-leading nations may gain disproportionate influence over global economic and security systems, potentially destabilizing international cooperation frameworks."

From Frontier AI Risk Management Framework (v1.0) (Tse2025)

Domain 6 6.1 Other Unintentional Other
73.06.00 · Risk Category

Corporate power may impeded effective governance

"The increasing power and influence of large corporations may make effective governance difficult. There exists a power asymmetry between corporate entities profiting from LLMs and other social groups (e.g. civil society). State-of-the-art LLMs are developed by or in partnership with, some of the world’s largest private tech companies...This poses a risk of governance protocols related to LLMs becoming excessively favorable to tech companies, potentially leading to regulatory capture at the cost of the interests of other societal groups, particularly marginalized communities who have historica

From Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Domain 6 6.1 Other Unintentional Other

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