prEN 18286: AI Quality Management

Dataset Hygiene & Provenance

Model Evaluation & Validation

Continuous Monitoring & Control

Establish robust processes for training data acquisition, validation, and version control to ensure auditability and compliance.

Implement rigorous testing protocols for AI models, covering performance, robustness, and bias detection against defined metrics.

Deploy post-market surveillance mechanisms to track AI system performance, drift, and potential risks in real-time operations.

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