Towards technical best practice for frontier AI development
AISI sets out technical best practices and controls for frontier AI developers, drawing on its pre-deployment testing experience, to address risks emerging during AI development.
Research
UK AI Security Institute
The UK government’s AI Security Institute: evaluations, red-teaming and research on frontier AI risks. aisi.gov.uk
Focus All
Topic Lab practice + Evals
Source UK AISI · 5
Date Any time
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Our approach to tackling AI-generated child sexual abuse material
UK AISI and Thorn publish a safety protocol for AI developers to prevent AI-generated CSAM, alongside legislation allowing authorised testing of whether models can generate such material.
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Making safeguard evaluations actionable
Proposes how to make misuse-safeguard evaluations decision-relevant by setting metrics and thresholds, and presents an example safety case linking safeguard evaluation results to deployment decisions.
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Early lessons from evaluating frontier AI systems
UK AISI blog on third-party evaluation of frontier AI systems, covering which systems, risks and capabilities to test, and how to run robust pre-deployment safety evaluations.
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Safety cases at AISI
AISI announces planned research sketching safety cases, structured arguments that frontier AI systems are safe, focused on loss-of-control and autonomy risks for future models.