News & updates

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

A summary of "Taxonomy of Risks Posed by Language Models" by Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, and Iason Gabriel.

AI Risk Frameworks

Taxonomy of Risks Posed by Language Models

This blog post outlines the April 2025 update to the AI Risk Repository preprint, which adds 22 newly published frameworks, expands the dataset to 1,612 classified risks, and adds a new subdomain to the domain taxonomy (multi-agent risks). The AI Risk Repository is a living, systematic review and database of AI risk frameworks. The preprint provides an in-depth synthesis of risk classifications and presents two taxonomies—causal and domain-based—to support clearer understanding, auditing, and governance of AI risks.

New Version of the AI Risk Repository Preprint Now Available

A summary of "The Risks of Machine Learning Systems" by Samson Tan, Araz Taeihagh and Kathy Baxter (2022).

AI Risk Frameworks

The Risks of Machine Learning Systems

We conducted an evidence scan of frameworks that addressed advanced AI systems and attempted to combine traditional risk management principles with AI safety approaches. Our evidence scan found 11 AI risk management frameworks at the intersection of traditional risk management and AI safety.

Mapping Frameworks at the Intersection of AI Safety and Traditional Risk Management

This post shares a public Google Slides deck containing all 65 frameworks included in Version 3 of the AI Risk Repository. It provides direct access to source documents, diagrams, and key excerpts to support transparency, research, and further analysis of AI risk classifications.

AI Risk Frameworks

Explore the Frameworks Behind the AI Risk Repository

This post announces the April 2025 update to the MIT AI Risk Repository, which adds 9 new frameworks, ~600 risk entries, and a new subdomain on multi-agent risks. It includes a link to a public Google Slides deck showcasing all newly added frameworks and offers context on the Repository’s purpose, structure, and ongoing development.

Project updates

Repository Update: April 2025

A summary of highlights from our team's attendance at the International Association for Safe and Ethical AI (IASEAI) 2025 conference.

Project updates

Highlights from Paris: Attending the 2025 IASEAI Conference

A summary of "Sources of Risk of AI Systems" by André Steimers and Moritz Schneider (2022).

AI Risk Frameworks

Sources of Risk of AI Systems

February 27, 2025

A summary of the framework 'Evaluating the Social Impact of Generative AI Systems in Systems and Society' by Solaiman et al., 2023.

AI Risk Frameworks

Evaluating the Social Impact of Generative AI Systems in Systems and Society

January 17, 2025

We are excited to announce that the MIT AI Risk Repository has been chosen as one of 50 projects from a competitive pool of 770 applications across 111 countries to participate in the @ParisPeaceForum #AIActionSummit.

Project updates

MIT AI Risk Repository Selected for 2025 Paris Peace Forum AI Action Summit

January 16, 2025

A summary of "AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures" by Eli Sherman and Ian W. Eisenberg (2024).

AI Risk Frameworks

AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures

January 16, 2025

A summary of "Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction" by Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio Garcia and Gurleen Virk.

AI Risk Frameworks

Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction

January 3, 2025

A summary of "Social impacts of artificial intelligence and mitigation recommendations: An exploratory study" by Vanessa Marques Paes, Franciane Freitas Silveira and Alessandra Cristina Santos Akkari (2022).

AI Risk Frameworks

Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study

January 2, 2025

A summary of "Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review" by Taylor Meek, Husam Barham, Nader Beltaif, Amani Kaadoor and Tanzila Akhter (2016).

AI Risk Frameworks

Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review

December 31, 2024

A summary of our plan to add 13 new AI risk frameworks to the Repository.

Project updates

Repository Updates: December 2024

December 30, 2024

News about the AI Risk Repository, the AI Risk Index Project, opportunities to contribute and other updates.

Project updates

Project Updates: December 2024

December 17, 2024

A summary of "The Risks Associated with Artificial General Intelligence: A Systematic Review" by Scott McLean, Gemma J. M. Read, Jason Thompson, Chris Baber, Neville A. Stanton and Paul M. Salmon (2023).

AI Risk Frameworks

The Risks Associated with Artificial General Intelligence: A Systematic Review

December 1, 2024

A summary of "Examining the differential risk from high-level artificial intelligence and the question of control" by Kyle A. Killian, Christopher J. Ventura, and Mark M. Bailey (2022).

AI Risk Frameworks

Examining the differential risk from high-level artificial intelligence and the question of control

October 2, 2024

A summary of "A framework for ethical AI at the United Nations" by Lambert Hogenhout.

AI Risk Frameworks

A framework for ethical AI at the United Nations

September 25, 2024

A summary of “A framework for ethical AI at the United Nations” by Thilo Hagendorff.

AI Risk Frameworks

Mapping the ethics of generative AI: A comprehensive scoping review

September 18, 2024

A summary of “Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements” by Jiawen Deng, Jiale Cheng, Hao Sun, Zhexin Zhang and Minlie Huang.

AI Risk Frameworks

Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements

September 4, 2024

A summary of "Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems", by Tianyu CUI and colleagues (2024).

AI Risk Frameworks

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

August 28, 2024

A summary of “TASRA: A Taxonomy and Analysis of Societal-Scale Risks from AI” by Andrew Critch and Stuart Russell (2023).

AI Risk Frameworks

TASRA: A Taxonomy and Analysis of Societal-Scale Risks from AI