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.

Export CSV Export JSON

4 entries

24.11.01 · Risk Sub-Category

Misinformation risks

Entrenched viewpoints and reduced political efficacy

"Design choices such as greater personalisation of AI assistants and efforts to align them with human preferences could also reinforce people’s pre-existing biases and entrench specific ideologies. Increasingly agentic AI assistants trained using techniques such as reinforcement learning from human feedback (RLHF) and with the ability to access and analyse users’ behavioural data, for example, may learn to tailor their responses to users’ preferences and feedback. In doing so, these systems could end up producing partial or ideologically biased statements in an attempt to conform to user expec

From The Ethics of Advanced AI Assistants (Gabriel2024)

Domain 3 3.2 AI Unintentional Post-deployment
24.11.02 · Risk Sub-Category

Misinformation risks

Degraded and homogenised information environments

"Beyond this, the widespread adoption of advanced AI assistants for content generation could have a number of negative consequences for our shared information ecosystem. One concern is that it could result in a degradation of the quality of the information available online. Researchers have already observed an uptick in the amount of audiovisual misinformation, elaborate scams and fake websites created using generative AI tools (Hanley and Durumeric, 2023). As more and more people turn to AI assistants to autonomously create and disseminate information to public audiences at scale, it may beco

From The Ethics of Advanced AI Assistants (Gabriel2024)

Domain 3 3.2 Human Intentional Post-deployment
24.11.05 · Risk Sub-Category

Misinformation risks

Entrenching specific ideologies

"AI assistants may provide ideologically biased or otherwise partial information in attempting to align to user expectations. In doing so, AI assistants may reinforce people’s pre-existing biases and compromise productive political debate."

From The Ethics of Advanced AI Assistants (Gabriel2024)

Domain 3 3.2 AI Unintentional Post-deployment
24.11.06 · Risk Sub-Category

Misinformation risks

Eroding trust and undermining shared knowledge

"AI assistants may contribute to the spread of large quantities of factually inaccurate and misleading content, with negative consequences for societal trust in information sources and institutions, as individuals increasingly struggle to discern truth from falsehood."

From The Ethics of Advanced AI Assistants (Gabriel2024)

Domain 3 3.2 AI Other Post-deployment

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