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HR 8893

Protecting Consumers from Deceptive AI Act

119th Congress Introduced by Brian Fitzpatrick and 2 co-sponsors

Directs NIST to build standards and task forces to label, watermark, and prove provenance for AI-generated content across media while protecting user privacy.

Ordered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 35 - 0.
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Bill Summary · HR 8893

Overview

HR 8893, the Protecting Consumers from Deceptive AI Act, would direct the National Institute of Standards and Technology (NIST) to form task forces that develop technical standards and guidelines for identifying content created or substantially modified by generative artificial intelligence (AI). The aim is to improve “content provenance” tracking, labeling, watermarking, and digital fingerprinting for audio, video, and text, and to support platforms in identifying and displaying such provenance information while safeguarding privacy.

Primary purpose and intent

  • Establish dedicated task forces within 90 days of enactment to facilitate the development of technical standards and guidelines related to provenance metadata, watermarking, digital fingerprinting, and other measures for AI-generated or AI-modified content.
  • Promote interoperable standards that help social media platforms, search engines, browsers, and other online services identify and label AI-generated content.
  • Encourage embedding provenance data into content and providing clear, privacy-conscious ways for users to understand and control metadata sharing.

Key provisions and changes

  • Task Force Establishment (Section 2(a)(1)):
    • Create task forces to:
    • Develop standards for content provenance metadata, watermarking, and digital fingerprinting for audio/visual content.
    • Develop standards to help online platforms identify and label AI-generated or substantially modified content, including interoperable watermarking and fingerprinting that platforms can implement.
    • Support labeling and embedding provenance data for text-based content generated or modified by generative AI.
    • Ensure technical feasibility and address potential circumvention and enforcement issues.
  • Standards Bodies (Section 2(a)(2)):
    • Task force outputs should inform private sector standards bodies and consensus organizations (as referenced in the National Institute of Standards and Technology Act and OMB Circular A–119).
  • Membership (Section 2(a)(3)):
    • Include diverse stakeholders: federal agencies, AI developers, standards organizations, social platforms, search engines, browsers/OS developers, academia, privacy and civil rights groups, media and creator organizations, labor groups, AI testing/forensics experts, and other appropriate entities.
  • Duties and Reporting (Section 2(a)(4)):
    • Each task force must submit recommendations on technical standards to NIST within 270 days of formation.
    • Each task force must report annually to multiple congressional committees on activities for the prior year, for five years.
  • Privacy Considerations (Section 2(a)(5)):
    • Task forces must consider privacy-preserving approaches for storing and displaying provenance data.
    • Provide guidance to users on what provenance data is shared and offer options to limit data sharing.
  • Definitions (Section 2(b)):
    • Clarifies terms: audio/visual content, content provenance, digital fingerprinting, generative AI, metadata, watermarking, and related concepts.

Who and what would be affected

  • Online service providers and platforms (social networks, messaging services, search engines) that may implement labeling, watermarking, or provenance metadata.
  • Developers of generative AI and tools used to produce or modify content.
  • Standards bodies, academic and civil society groups, privacy advocates, and labor organizations engaged in AI impacts.
  • End users, who would see labeling and provenance indicators and receive privacy-conscious guidance on data sharing.

Procedural and timeline notes

  • Enactment triggers creation of task forces within 90 days.
  • Task forces must deliver initial recommendations to NIST within 270 days of formation.
  • All task forces must report annually to relevant House and Senate committees for five years.
  • The bill emphasizes privacy-preserving implementation and interoperability with existing standards ecosystems.

Overall, HR 8893 seeks to create a formal, cross-sectoral effort to detect, label, and protect content provenance in AI-generated content, aiming to reduce deception while balancing privacy and technical feasibility.

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

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