AI Incident Reporting Act (H.R.9477): requiring a system to report serious AI failures and harms

1Incident reporting in other fields

Fields such as aviation, medicine, and cybersecurity have systems to report and share accidents and harmful events, analyze causes, and prevent recurrence. Near-miss and adverse-event reporting are examples that have turned individual failures into learning for the whole sector.

As AI spreads into important settings, a noted gap is the lack of mechanisms to capture and share incidents, malfunctions, discriminatory decisions, or safety problems when they occur.

2A reporting system for AI incidents

H.R.9477, the AI Incident Reporting Act, is a House bill that seeks to address this. As its name indicates, it appears aimed at requiring a system to report serious AI incidents, applying to AI the established idea of reporting and sharing what happened as a basis for preventing recurrence and for policy.

The sponsor is Rep. Nathaniel Moran (R-TX); it was introduced on June 25, 2026, and referred to the Committee on Energy and Commerce. What would count as a reportable incident, and who would report what to whom and how, are provision details beyond the information here, so no firm conclusions are drawn.

3Bringing an established idea to AI

Reporting and sharing incidents and adverse events, analysing causes and preventing recurrence is an established mechanism in several fields. This bill applies that idea to AI.

Incident reporting is the basic infrastructure making visible what is happening, the precondition for regulation. AI failures tend to be concealed, and without sharing the same failure repeats. A well-designed reporting regime can be a realistic way to raise safety without relying on heavy regulation. The bill was introduced on 25 June 2026 and referred to the House Committee on Energy and Commerce.