Why AI Agent Policies Must Be Deterministic, Not Probabilistic

A philosophical split exists in AI safety, with some advocating for self-governance and others for external enforcement. Deterministic AI agent policies, evaluated outside the model, are argued to be more effective for safety constraints. These policies produce the same result for the same input, every time, and are not influenced by context or probability. This approach is recommended for safety constraints, while probabilistic decisions are suitable for fuzzy agent behaviors.