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HR 9477

AI Incident Reporting Act

119th Congress Introduced by Nathaniel Moran

HR 9477 would require designated AI model developers to file periodic reports with the Secretary of Commerce detailing model capabilities, data, safety measures, and deployment pla

Introduced in House
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WeVote Research Nonpartisan
Bill Summary · HR 9477

Summary of HR 9477 (119th Congress)

Purpose and intent

HR 9477 would, in broad terms, require certain developers of artificial intelligence (AI) models to submit reports to the Secretary of Commerce. The bill aims to introduce a formal reporting requirement intended to provide federal oversight or visibility into AI model development activities. It appears to focus on transparency and information gathering related to AI models, though the exact scope, criteria for which developers are covered, and the purposes for the reports (e.g., safety, risk assessment, national security, competitiveness) would be detailed in the bill’s text.

Key provisions and changes (as typically found in this type of measure)

  • Reporting obligation: Mandates that designated AI model developers submit reports to the Secretary of Commerce. The content, format, frequency, and timeframe of these reports would be specified in the statute.
  • Scope of developers: Defines which entities are subject to the requirement (e.g., developers of certain categories of AI models, thresholds for model capability, or levels of risk). The bill would likely distinguish between large-scale or high-risk models and other developers.
  • Contents of reports: The reports would describe aspects of the AI models, such as capabilities, training data categories, model safety features, risk mitigations, deployment plans, and potential impacts. There may be specific data elements or metrics the Secretary can request.
  • Compliance and enforcement: Provisions outlining how compliance will be monitored, deadlines for reporting, penalties for noncompliance, and potential safe harbors or exemptions.
  • Secretary of Commerce role: Establishes or clarifies responsibilities for the Secretary to collect, analyze, and perhaps publicly disclose information or to use it for policymaking, rulemaking, or oversight related to AI.
  • Interagency coordination: Possible references to coordination with other federal agencies (e.g., National Institute of Standards and Technology, Federal Trade Commission) on AI governance, safety, or competition concerns.
  • Confidentiality and data handling: Protections for sensitive information, trade secrets, or propriety data submitted in reports; limitations on public disclosure.

Who would be affected

  • AI model developers: Entities that fall within the defined scope of the bill would be required to prepare and submit annual or periodic reports to the Department of Commerce.
  • Businesses and researchers involved in advanced AI: Startups, incumbents, and academic or independent researchers who develop models that meet the bill’s criteria.
  • Federal government: The Department of Commerce would gain new reporting obligations and may engage in further rulemaking or policy guidance based on collected information.
  • Employees and stakeholders: Indirect effects on teams responsible for model development, risk management, and compliance within affected organizations.

Procedural and timeline aspects

  • Introduction and referral: HR 9477 was introduced in the House and referred to the Committee on Energy and Commerce on June 25, 2026.
  • Next steps in Congress: The bill would progress through committee consideration, potential markups, and floor votes. If advanced, it could be considered by the full House and, subsequently, by the Senate (where it would need to pass) and be sent to the President for signature or veto.
  • Effective dates: The statute would specify when reporting requirements become effective and any phase-in period for covered entities.

Potential implications and considerations

  • Transparency vs. confidentiality: Balances the need for information to inform policy and oversight with protections for trade secrets and sensitive business data.
  • Regulatory burden: Could introduce compliance costs for AI developers, particularly smaller entities, depending on reporting frequency, depth, and data required.
  • Impact on innovation: Aims to enable better risk assessment and policy guidance, but stakeholders may weigh potential burdens against anticipated benefits to safety and governance.
  • National and global context: Fits within broader U.S. efforts to regulate and oversee AI technologies; outcomes could influence international dialogue and competitiveness.

Note: This summary is based on the bill’s title and available action history. For precise requirements, definitions, reporting formats, exemptions, and enforcement mechanisms, consulting the full bill text and any official committee amendments would be necessary.

Compiled from official sources — confirm details with the bill’s official record.

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