FTC Proposes AI Policy for Bias Disclosure in Large Language Models

The U.S. Federal Trade Commission (FTC) on July 1, 2026, released a proposed policy statement aiming to mandate that artificial intelligence (AI) companies disclose biases and 'undisclosed ideological objectives' within their large language models (LLMs) and other AI systems. This regulatory move seeks to address concerns that AI companies might be manipulating their systems' behavior contrary to reasonable consumer expectations for objectivity and accuracy.

The FTC's proposed policy statement directly addresses worries that AI companies could be distorting system outputs. The Commission asserts that AI companies have implicitly and explicitly represented their systems as aiming to produce the best, most accurate output possible, leading consumers to reasonably expect truthful and unbiased results from AI. Companies that steer AI system outputs towards unexpected objectives or undisclosed ideological goals may be engaging in deceptive practices, thereby violating Section 5 of the FTC Act, which prohibits unfair or deceptive conduct.

While the policy does not ban bias outright, it stipulates that AI companies can avoid liability by providing clear, conspicuous, and adequate disclosures if their systems prioritize objectives different from what users request or reasonably expect. However, such disclosures would need to be sufficiently prominent and persistent to genuinely shift consumer expectations, going beyond mere disclaimers buried in terms of service. FTC Chairman Andrew N. Ferguson highlighted the agency's desire to gather input from businesses and consumers regarding the 'subversion of AI systems for ideological ends,' aiming to support President Donald Trump's goal of expanding America's global dominance in artificial intelligence.

This development is likely to pose significant legal and operational challenges for major technology firms and AI developers. It will necessitate greater transparency and control over the training data, algorithmic designs, and output filtering mechanisms of AI models. In the markets, this could introduce uncertainty into AI investments and company valuations, alongside an expected increase in compliance costs. Leading AI developers, including Anthropic, OpenAI, and Google, have either not publicly commented or declined to comment on the proposal thus far.

The FTC's action follows a December 2025 executive order by President Trump, which directed the agency to issue a policy statement addressing the legal implications of state laws requiring alterations to the 'truthful outputs of AI models.' The proposed policy notably argues that certain state laws, such as Colorado's Artificial Intelligence Act, might coerce AI companies into suppressing output accuracy for ideological objectives, potentially leading to federal preemption. This aspect suggests a potential jurisdictional conflict between federal and state-level AI regulations.

Analysts and market observers suggest that this policy draft could usher in an era of enhanced transparency and accountability within the AI sector. Companies will need to manage their claims of 'neutrality' more carefully and proactively disclose potential biases. The public comment period remains open until July 31, 2026, and the final policy's impact on the future development and widespread adoption of AI technologies will be closely monitored. It is anticipated that this regulation will contribute to raising AI ethical standards and bolstering consumer trust in AI systems.