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    AI Detection API Audit Export Guide

    Plan AI detection API audit exports for run history, reviewer notes, risk bands, timestamps, policy status, and evidence links.

    Open core guide

    Export the evidence behind each decision

    Audit exports should include detector run IDs, submitted document references, risk bands, confidence, highlighted evidence, reviewer notes, timestamps, and final status.

    Support CSV and JSON workflows

    Compliance, education, publishing, and enterprise teams may need CSV for review logs and JSON for downstream systems. Both formats should preserve stable identifiers and policy context.

    Keep exports tied to human review

    An export should show how detector signals were interpreted, who reviewed the case, what context was considered, and whether a revision, escalation, or no-action outcome was chosen.

    FAQ

    What fields should an AI detection audit export include?

    Include run IDs, document IDs, risk bands, confidence, evidence highlights, reviewer assignment, notes, timestamps, policy status, final disposition, and links to retained records when available.

    Are audit exports proof of misconduct?

    No. Audit exports document review evidence and process. They should support responsible decisions, not replace context, drafts, citations, or human judgment.

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