Skip to content
Global AI Governance Archive
Search the archive

United States · Guidance

United States — FTC Enforcement Actions on Algorithmic Disgorgement

Published1 January 2026

Issued by Federal Trade Commission.

Summary

The Federal Trade Commission’s 2026 enforcement focus on algorithmic disgorgement used consumer protection powers to address models trained on illegally obtained, deceptive, or non-consensual data. In such cases, companies may be required to delete not only the underlying data but also trained models built from it. The frontier also expanded toward liability for autonomous software agents performing multi-step tasks such as banking, booking, and administrative work. This approach positioned enforcement, data provenance, and responsibility for agentic harms as central issues in United States AI governance.

Why it matters

Algorithmic disgorgement; deletion of unlawfully obtained data; destruction of models trained on unlawful or deceptive data; consumer protection enforcement; autonomous agent liability; responsibility for deceptive or financially harmful agent actions.

Topics

Record metadata

Country
United States
Region
Americas
Organisation
Federal Trade Commission
Document type
Guidance
Status
Published
Publication date
1 January 2026
Last updated
27 June 2026
Language
English
Original source
View original source

Citation export

Plain citation

Federal Trade Commission, Enforcement Actions on Algorithmic Disgorgement, 2026.

BibTeX

@misc{us_ftc_enforcement_actions_algorithmic_disgorgement_2026,
  title        = {United States — FTC Enforcement Actions on Algorithmic Disgorgement},
  author       = {Federal Trade Commission},
  year         = {2026},
  howpublished = {Global AI Governance Archive},
  url          = {https://www.ftc.gov/}
}

See the citation guide for style-specific examples.

Recorded cross-references

  • United States — Executive Order 14110
  • United States — Colorado AI Act SB 24-205
  • United States — Blueprint for an AI Bill of Rights

Related Entries

This archive is provided for research and informational purposes. It should not be interpreted as legal or regulatory advice.