FTC Targets Undisclosed AI Output Steering
Coverage from Inside Privacy, Law.com, and others

The Federal Trade Commission is considering whether undisclosed design choices that steer AI outputs away from users’ expected accuracy or objectivity could constitute deception under Section 5 of the FTC Act.
The proposal distinguishes intentional output steering from ordinary model errors, emphasizes prominent disclosures, and raises questions about how federal enforcement would interact with state AI requirements, including Colorado’s rules. The approach could affect model design, marketing claims, disclosure practices, and compliance strategies across consumer-facing sectors, but its legal scope remains unsettled because the policy is still proposed.
The core FTC proposal is unchanged, but the story now more explicitly connects it to specific model-development techniques and consumer-facing sectors. It also adds Andrew Ferguson and Snap’s My AI as evidence of internal disagreement over AI enforcement, without establishing a new enforcement action.
