The Federal Trade Commission opened a public comment period on July 1 for a proposed policy statement addressing what it calls the 'suppression of accuracy' in AI systems -- a framework that could reshape how every consumer-facing AI product discloses when it's optimizing for something other than the most accurate answer. The comment period runs through July 31, 2026.
The core legal theory: AI companies have made explicit and implicit representations that their systems are designed to produce the most accurate output possible, and because consumers accept AI outputs without independent fact-checking more than 90% of the time, according to the FTC's own citation, they have a reasonable expectation that outputs aren't secretly being steered toward an undisclosed objective. Steering a model's output away from a correct answer without telling users, the statement argues, can amount to deception under Section 5 of the FTC Act.
“Steering a model's output away from a correct answer without telling users, the statement argues, can amount to deception under Section 5 of the FTC Act.”
A significant portion of the statement takes direct aim at state AI laws, singling out Colorado's Artificial Intelligence Act by name as a law that could pressure companies into altering model outputs to avoid disparate-impact liability -- effectively arguing that state fairness mandates could conflict with a federal accuracy mandate. The proposal does include a safe harbor: a company can avoid Section 5 liability by making clear, conspicuous and adequate disclosures that its system is designed to prioritize certain objectives over pure accuracy.
For any startup building consumer-facing AI products -- chatbots, recommendation engines, content moderation tools -- this creates a new compliance surface: disclosure language about what a model optimizes for becomes a legal requirement, not just a trust-and-safety nicety, and conflicts between state fairness laws and this federal framework could force difficult product design tradeoffs.
What to watch: the volume and substance of comments filed before the July 31 deadline, particularly from state regulators pushing back on the Colorado callout, and whether the FTC moves from a policy statement to actual enforcement action against a specific company before year-end.