Walk the data provenance check
Evaluate whether data source, permission, and representativeness are fit for an AI use case.
Data reuse The dataset is convenient, but convenience is not consent or quality. Bad provenance turns a useful copilot into a privacy and reliability risk. Provenance check Ask source, permission, sensitivity, coverage, and verification. Data context travels into AI behavior. Use all logs Fast, leaky, uneven Fit-for-purpose data Source Step 1 The transcripts mix public FAQs and private account details. What is the first control? Coverage Step 2 US chats dominate the data; APAC issues are underrepresented. How should coverage be handled? Now you try
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