SOURCE-LINKED INTELLIGENCE
ALTSTEER: Selective Safety Steering for Moving Beyond Hard Refusals to Constructive Alternatives
Safety alignment is essential for deploying large language models, requiring systems to prevent harmful compliance while preserving helpfulness on benign requests. Activation steering offers a training-free inference-time approach to safety control, but effective safety steering requires addressing two coupled questions: when to intervene and how generation should be shaped after intervention. However, existing safety steering methods remain limited along both dimensions, as their triggering mechanisms can be unstable across domains and refusal-oriented steering often yields rigid refusals rat
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T03:25:13.000Z
First collected: 2026-09-21T07:22:03.933Z. This is not the publication date.