FTC Proposes Policy Targeting AI Bias Claims in State Laws

The Federal Trade Commission has opened public comment on a proposed policy statement that could reshape how the agency regulates artificial intelligence companies accused of ideological bias in their systems.

The proposal, accepting feedback through July 31, addresses concerns that AI companies might deceive consumers by distorting system outputs to achieve undisclosed ideological objectives. FTC Chairman Andrew N. Ferguson framed the initiative as an effort to gather input from businesses and consumers about "the subversion of AI systems for ideological ends."

Why it matters

This proposal introduces a novel enforcement pathway: companies could face federal deceptive practice claims based on how they tune, weight, or steer their AI models. That creates uncertainty for AI developers while potentially encouraging states to narrow their regulatory focus to less contentious areas like deepfakes and child safety, where bipartisan consensus exists.

Colorado Law at Center of Debate

The FTC statement specifically references Colorado's first-of-its-kind law that banned "algorithmic discrimination"—AI outputs that might disadvantage people in employment, lending, or healthcare decisions based on protected characteristics including race, religion, and gender. Colorado's legislature has since repealed that provision, replacing it with language focused on regulating technology that produces "consequential decisions" for consumers.

The original Colorado law sparked a lawsuit from xAI, Elon Musk's AI company, which received support from the U.S. Department of Justice.

Federal Push Against State Regulation

The FTC proposal follows President Donald Trump's December 2025 executive order targeting state AI laws. That order created a Department of Justice AI Litigation Task Force specifically to challenge state-level AI regulations and directed the FTC to issue policy guidance on laws "requiring alterations to the truthful outputs of AI models."

Stateline requested clarification from the FTC on which current state or city laws officials believe violate federal statutes but received no response.

Legal and Policy Implications

Tyler Thompson, a Denver-based technology lawyer with Reed Smith, called the FTC's approach significant because it establishes that model tuning decisions could constitute deceptive trade practices. He predicts the legal pressure will push state lawmakers toward "more niche" AI policy areas with bipartisan support, including deepfakes, nonconsensual sexual content, children's safety, companion chatbots, and data center regulation.

Noah M. Kenney, founder of AI governance consultancy Digital 520, characterized the proposed statement as primarily a political signal rather than enforceable federal regulation. He noted an inherent tension in the federal position: "A federal effort to dictate what counts as a 'neutral' or 'accurate' output raises its own First Amendment concerns about compelled speech."

State lawmakers from both parties have indicated they intend to continue passing AI regulations despite federal opposition.

These details were first reported by Stateline.