Study considers how to make AI model safeguard evaluations actionable
30/05/2025 | AI Security Institute
New research by the UK AI Security Institute (AISI) focuses on the evaluation of misuse safeguards, which are technical interventions implemented by advanced artificial intelligence (AI) developers to prevent AI systems from generating harmful information or actions. The AISI stresses the growing importance of rigorously evaluating these protective measures as AI systems become more sophisticated.
A central challenge highlighted in the research is how to make these safeguard evaluations actionable and relevant for decision-making. The AISI suggests that by establishing thresholds based on measurable safeguard effectiveness, it becomes possible to make transparent decisions regarding the deployment and access of AI models. The research underscores the need for clearer, more quantifiable standards in assessing AI safety measures to ensure responsible development and deployment.
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