FTC Targets Colorado AI Law in Proposal Open Through July 31
Updated
Updated · Daily Kos · Jul 11
FTC Targets Colorado AI Law in Proposal Open Through July 31
3 articles · Updated · Daily Kos · Jul 11
Summary
The FTC issued a proposed policy statement inviting public comment through July 31, signaling it may treat AI systems steered toward undisclosed ideological goals as deceptive under federal law.
Colorado became the clearest target because the proposal cites its first-of-its-kind AI discrimination law, though lawmakers already repealed the provision banning “algorithmic discrimination” and narrowed the statute to consequential consumer decisions.
That move follows Trump’s December 2025 executive order creating a DOJ AI Litigation Task Force and directing the FTC to address state rules that require changes to what the administration calls truthful AI outputs.
Lawyers and AI governance advisers said the statement is more pressure than preemption for now, but it could still expose companies to deceptive-practices claims over how they tune models and steer policy toward narrower bipartisan issues like deepfakes and child safety.
As regulators target AI for 'ideological distortion,' how can tech firms innovate without risking deception lawsuits?
Who defines an AI's 'truth' when federal and state governments have conflicting views on regulating its output?
Could the government's pursuit of 'neutral' AI be challenged as unconstitutional compelled speech under the First Amendment?
FTC’s 2026 AI Policy and Colorado’s SB 26-189: The Race to Define National AI Regulation and Consumer Protections
Overview
In July 2026, the Federal Trade Commission (FTC) introduced a proposed policy to clarify how existing consumer protection laws apply to artificial intelligence (AI) technologies. This policy aims to prevent deceptive practices and create a consistent regulatory framework for AI, addressing the growing complexities and risks for consumers. A key feature is setting new standards for AI disclosure, though companies may face challenges in practical implementation. The policy also includes a preemption analysis, signaling a move toward a unified federal approach that could override conflicting state laws and shape the future of AI regulation in the United States.