Right-to-Act: A Pre-Execution Non-Compensatory Decision Protocol for AI Systems

ArXi:2604.24153v1 Announce Type: new Current AI systems increasingly operate in contexts where their outputs directly trigger real-world actions. Most existing approaches to AI safety, risk management, and governance focus on post-hoc validation, probabilistic risk estimation, or certification of model behavior. However, these approaches implicitly assume that once a decision is produced, it is eligible for execution. In this work, we