This paper describes the minimum characteristics of an evidentiary control mechanism for AI systems operating in regulated environments. It defines when AI outputs become record-relevant, specifies the evidence objects required to make those outputs reconstructable, and outlines an operating model that distributes accountability across legal, compliance, risk, product, and operational functions.
This paper describes the minimum characteristics of an evidentiary control mechanism for AI systems operating in regulated environments. It defines when AI outputs become record-relevant, specifies the evidence objects required to make those outputs reconstructable, and outlines an operating model that distributes accountability across legal, compliance, risk, product, and operational functions.