OpenSafeIntent: Evaluating Intent-Calibrated Safe Completion Across Dual-Use Prompt Sets

Researchers have introduced OpenSafeIntent, a new benchmark designed to evaluate how AI models balance helpfulness with safety when faced with prompts that have ambiguous or dual-use intents. By testing models across controlled prompt sets that vary in objective while maintaining consistent contexts, the tool aims to better measure a model's ability to interpret user intent accurately. This approach addresses current difficulties in assessing safety guardrails, which often rely on isolated prompts that fail to capture the complexity of real-world user goals.