Healthcare organizations have defined responsible AI principles, but proving those principles work in live clinical and operational environments remains difficult. This blog examines how Quality Engineering converts AI governance into measurable controls, defensible release evidence, and continuous assurance across the AI lifecycle.
The post Healthcare AI Assurance: Turning Governance into Execution Evidence first appeared on TestingXperts.
