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 responsibility allocation across the supply chain.
2) This report details how fine-tuning can alter AI safety, explores the challenges in evaluating these changes, and proposes policy recommendations for responsible AI development and deployment.
3) It examines the variability in safety outcomes across different models and benchmarks, highlighting the need for domain-specific evaluations and increased transparency.
Tags: AI safety, fine-tuning, foundation models, AI governance, safety drift

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