Out of Tune Fine-Tuning Foundation Models Leads to Unpredictable Safety Drift

2026

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AI-generated summary

1) Fine-tuning foundation models can lead to unpredictable safety drift, complicating AI governance and necessitating a shift towards more collaborative, lifecycle-aware approaches.
2) This report details how fine-tuning can alter AI safety profiles, explores the challenges in predicting and managing these shifts, and proposes policy recommendations for shared responsibility across the AI supply chain.
3) The document includes an analysis of how AI models evolve through modifications, the unpredictable effects of these changes on safety behavior, and a mapping of ecosystem actors to responsibilities for safer AI.
Tags: AI safety, fine-tuning, foundation models, AI governance, safety drift

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