Walk an AI analysis from insight to evidence
Review an AI-generated data analysis by separating data checks, interpretation checks, and release controls.
The setup Sofia has an AI-generated survey analysis that moves from a data pattern to a causal claim. The conclusion could influence manager interventions and employee trust. Review model Data first, interpretation second Verify the dataset and calculations before judging the story. Then check whether the interpretation is supported or invented. Use provenance for the dataset, hallucination checks for causal language, and four-eyes review for people-impact action. Shortcut Act on the AI explanation. A useful insight without invented blame 01 Dataset 02 Interpret 03 Release Check the dataset Step 1
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