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AI Incident Intake: Creating a Clear Path for Reporting AI Problems

A governance guide for capturing AI problems consistently so operational, risk, security, and professional owners can respond appropriately.

Shamar Bennett September 6, 2026 Updated September 6, 2026 Reviewed 2026-09-06 Version 1.0 2 min read

People need a clear way to report AI behavior that appears unsafe, inappropriate, unreliable, discriminatory, insecure, privacy-invasive, or simply inconsistent with the approved use case. A structured intake path helps route those concerns without requiring the reporter to diagnose the cause.

Make reporting easy to find

Provide a known channel for staff and operators and, where appropriate, customers or affected users. Explain what kinds of events should be reported and how urgent safety or security concerns are escalated.

Capture facts before conclusions

Record the use case, date and time, observed behavior, expected behavior, affected process, available inputs and outputs, model or version where known, and immediate actions already taken. Preserve sensitive information carefully.

Route by impact

Operational failures may go to engineering or operations, security concerns to incident response, privacy issues to privacy owners, and consequential professional concerns to the relevant qualified authority. One intake process can support multiple response paths.

Connect incidents to governance

Use incident records to trigger model change reviews, risk reassessment, monitoring updates, temporary restrictions, or control improvements when warranted.

Do not force reporters to make regulated judgments

The intake form should capture observations, not require a reporter to determine legal liability, clinical harm, employment discrimination, financial suitability, or regulatory status.

Related knowledge

Use this with AI Monitoring Thresholds, AI Model Change Reviews, AI Risk Acceptance Records, and AI Governance Evidence Packs.

References

This resource supports operational governance. It does not determine legal, regulatory, clinical, financial, employment, safety, privacy, accessibility, or other professional outcomes.

Put the guidance into context

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About the author

Shamar Bennett

Tavryqen authors contribute practical perspectives on responsible AI, automation, security, and technology transformation.