Tiered Assessment Framework for Cognitive Errors in Generative AI Systems: A Quality Assurance Methodology for Industrial Control Systems
A quality assurance methodology for cognitive errors in generative AI systems deployed in industrial control environments. Establishes an error-class model / criticality bands, testing methodology, and statistical acceptance criteria. It is the cognitive-error layer of a two-layer hybrid quality assurance architecture,...