Researchers have introduced the "Right-to-Act" protocol, a novel pre-execution decision layer for AI systems. This protocol acts as a deterministic gatekeeper, evaluating whether an AI-generated decision is permissible before it is enacted in the real world. Unlike compensatory systems that might override failures with high confidence, Right-to-Act enforces strict structural constraints, halting or deferring execution if any required condition is not met. The framework aims to enhance AI safety and governance by shifting control from optimizing decisions to governing their admissibility, independent of the underlying AI model. AI
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IMPACT Introduces a new protocol for AI safety that focuses on pre-execution admissibility rather than post-hoc validation.
RANK_REASON Academic paper introducing a new protocol for AI safety.