When conducting an AI system audit, which document provides the MOST essential baseline for assessing whether an AI system is operating within its intended scope?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you need the model use case documentation and intended use specification because it defines the authorized purpose, user population, operating conditions, and expected performance boundaries. Without that baseline, you can't tell whether the AI system has drifted outside its intended scope.
Full Explanation
The model use case documentation and intended use specification is correct because it defines the authorized purpose, user population, operating conditions, and expected performance boundaries for the AI system. An auditor cannot determine scope deviation without first establishing what the authorized scope is. The model training code repository shows implementation details but not intended use. The model risk tier classification worksheet classifies severity but does not define operational boundaries. The data lineage diagram for training datasets supports data governance review but does not establish operational scope.