See below the project outputs for AI Safety Camp's 10th edition, which took place from January to April 2025. You can also find them on our website.

This year's edition featured a wide range of approaches to reducing AI risk. Projects resulted in published papers, produced helpful community resources, grants for follow-up research, and/or helped team members transition to full-time work in AI Safety.

You are encouraged to scan the post outline for the topic area of greatest interest to you and check out the projects we hosted. As a general rule, the first person listed among the team members was the project lead for the respective project.

Stop/Pause AI

Growing PauseAI

Team members: Chris Gerrby, Sharon Mwaniki, Alyssa Chase-Vilchez, Manuela García Toro, Andrei-Octavian Dirla

Project Summary: This project explored multiple avenues of scaling the PauseAI movement.

Project Outputs:

Recommendations on how to Reframe the Pause AI message by Sharon
Thematic Analysis of Social and Environmental Movements in relation to Pause AI by Sharon and Alyssa
Report Analysis: Rapidly Growing Social Movements and Key Factors in Their Growth by Alyssa
Relation between PauseAI and Anti-nuclear Weapons Movements by Manu
PauseAI email writer by Andrei
MAISU lightning talk

AI Policy Course: AI's capacity for exploiting existing legal structures and rights

Team members: Marcel Mir, Kathrin Gardhouse, Suchet Mittal, Chloe Jefferson, Melissa Ninsiima, Arth Singh, Feranmi Adeoye, Ramya Nadig

Project Summary: The project involves developing a modular course that identifies legal vulnerabilities in the deployment of AI systems in high stake sectors. It maps key stakeholders and proposes liability frameworks to help allocate responsibility appropriately. Our premise is that clear liability structures and proper accountability assignment can discourage the reckless deployment of AI systems.

We believe the course can be a tool to identify vulnerabilities, inform key stakeholders, such as policymakers, lawyers and researchers, and become a valuable educational tool. We hope to inspire future research, policy actions or technical solutions for the challenges identified, while supporting the communication of these critical issues to the broader public.

Project Outputs:

MAISU lightning talk

Building the Pause Button: A Proposal for AI Compute Go

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