Self-Learning AI in Safety-Critical Environments
Self-learning AI can improve models over time, but in safety-critical environments uncontrolled retraining may introduce instability and model drift.
This article explains why human validation, MLOps governance and reference datasets are essential to ensure reliable and traceable AI systems.
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