Safety Model Adherence refers to the extent to which a machine learning or artificial intelligence system consistently follows and respects predefined safety protocols and guidelines. This ensures that the system operates within acceptable risk parameters, avoids unintended consequences, and aligns with ethical and regulatory standards. In essence, it’s about ensuring that the AI behaves predictably and safely, especially in scenarios where deviations could lead to harmful outcomes.