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 responsible AI development and deployment.
3) The research investigates the impact of model modifications on safety behavior, analyzes policy challenges, and offers actionable insights for various stakeholders in the AI supply chain.
Tags: AI safety, fine-tuning, foundation models, safety drift, AI governance

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