[Federal Register Volume 91, Number 128 (Tuesday, July 7, 2026)]
[Notices]
[Pages 41638-41642]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2026-13628]


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FEDERAL TRADE COMMISSION

[File No. P264200]


Policy Statement Concerning the Suppression of Accuracy in 
Artificial Intelligence Systems

AGENCY: Federal Trade Commission.

ACTION: Proposed policy statement; request for comments.

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SUMMARY: The Federal Trade Commission (``Commission'') is proposing a 
policy statement regarding the application of the prohibition on 
deceptive acts or practices in section 5 of the Federal Trade 
Commission Act to companies that market artificial intelligence 
(``AI'') systems.

DATES: Comments must be received on or before Friday, July 31, 2026.

ADDRESSES: Members of the public may file a comment online or on paper 
by following the instructions in the Comment Submissions part of the 
SUPPLEMENTARY INFORMATION section below. Write ``AI Policy Statement; 
Matter No. P264200'' on your comment and file your comment online at 
https://www.regulations.gov/docket/FTC-2026-0859. If you prefer to file 
your comment on paper, mail your comment to the following address: 
Federal Trade Commission, Office of the Secretary, 600 Pennsylvania 
Avenue NW, Mail Stop H-144 (Annex P), Washington, DC 20580.

SUPPLEMENTARY INFORMATION:

I. Summary

    Artificial Intelligence (AI) is reshaping how Americans consume 
information, educate our children, and perform our jobs.\1\ As they 
have marketed their remarkable breakthroughs to the public, AI 
companies have spent years representing explicitly and implicitly that 
their systems aim to produce the best output--output that faithfully 
and accurately achieves users' stated objectives and the built-in 
objectives that users expect in the AI system--that is possible within 
their technological and resource constraints. Because of these 
representations and the inherent nature of the products and services in 
question, consumers have a reasonable expectation that AI systems aim 
to give truthful and accurate outputs. Consumers have no basis to 
believe that AI systems aim to produce outputs that are distorted by 
undisclosed ideological objectives.
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    \1\ Executive Office of the President, Winning the Race: 
America's AI Action Plan at 1 (July 2025), https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf [hereinafter ``AI Action Plan'']; The Council of Economic 
Advisors, Executive Office of the President, Artificial Intelligence 
and the Great Divergence at 1 (Jan. 2026), https://www.whitehouse.gov/wp-content/uploads/2026/01/Artificial-Intelligence-and-the-Great-Divergence-5.pdf.
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    Nonetheless, an AI company might be tempted to alter or steer the 
output of its systems contrary to consumers' reasonable expectations 
for various reasons, including attempted compliance with a State law, 
such as Colorado's recently revised Artificial Intelligence Act. But 
steering an AI system in this manner may deceive consumers in violation 
of section 5 of the FTC Act. That is true even if the deceptive 
steering is done in an effort to comply with State laws. Of course, a 
company may be able to avert potential deception by making truthful, 
non-misleading representations about the aims of its model. But such 
representations would need to make clear the AI company is prioritizing 
objectives different than those consumers requested or would otherwise 
expect.

II. Background

    Artificial intelligence is an umbrella term covering a universe of 
different tools and systems now used across nearly every sector of the 
economy and in most people's daily lives.\2\ Regardless of whether one 
has in mind modern large language models, AI applications applying 
large-language models to particular purposes, or a not-yet-developed 
superintelligence, the hallmark of a successful AI system is an ability 
to accurately ``make predictions, recommendations, or decisions'' for 
its user consistent with a given objective.\3\ Their utility can then 
be judged by how well the solution matches consumers' objectives.
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    \2\ See, e.g., E.O. 14319, Preventing Woke AI in the Federal 
Government, at sec. 1, 90 FR 35389, 35389 (July 23, 2025) 
(``Artificial intelligence . . . will play a critical role in how 
Americans of all ages learn new skills, consume information, and 
navigate their daily lives.'').
    \3\ 15 U.S.C. 9401(3).
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    On a fundamental level, these products and services solve problems 
for people. For many Americans, they are becoming part and parcel of 
daily life, relied upon for research, analysis, and advice on both 
personal and business issues. This development reflects consumers' 
confidence that AI companies are bound by the same rules as other 
American companies: they will deal with consumers in good faith and 
with no hidden agenda, and they will not work in the shadows to punish 
those who hold opinions contrary to theirs. In large part, that 
confidence itself reflects the basic fact that the United States is the 
global standard-bearer for AI technologies.\4\ That American companies 
dominate every layer of the AI ecosystem should not be taken for 
granted. Geopolitical rivals are investing heavily in this sphere, 
hoping to inject their own companies and values into the marketplace. 
American dominance is thus about more than winning some abstract race. 
It is about ensuring Americans can continue to feel their values are 
being respected as they interact with, and benefit from, an AI-powered 
economy.
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    \4\ See J.D. Vance, Remarks by the Vice President at the 
Artificial Intelligence Action Summit in Paris, France (Feb. 11, 
2025), www.presidency.ucsb.edu/documents/remarks-the-vice-president-the-artificial-intelligence-action-summit-paris-france [hereinafter 
``Vance AI Summit Remarks''].
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    Under the President's leadership, the Trump-Vance Administration 
has taken decisive steps to sustain America's global AI dominance \5\ 
by removing regulatory barriers that impede AI innovation.\6\ Excessive 
AI regulation would undermine American AI supremacy by deterring and 
suppressing the same ingenuity responsible for making American AI 
great.\7\ At the same time, however, as President Trump's National 
Policy Framework for Artificial Intelligence recognizes, responsible AI 
innovation can co-exist with prudent guardrails. For example, AI 
technologies should protect children and empower

[[Page 41639]]

parents.\8\ And most relevant to this statement, AI technologies should 
not be used to silence or censor lawful expression or dissent.\9\ 
Importantly, President Trump's proposed approach is a national AI 
framework, protecting innovation and competition by providing national 
regulatory clarity and certainty and avoiding a balkanized or patchwork 
regulatory approach driven by the States--or, most dangerously, imposed 
by certain anti-innovation State governments on the rest of the 
country.
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    \5\ See, e.g., AI Action Plan, supra note 1; E.O. 14318, 
Accelerating Federal Permitting of Data Center Infrastructure, 90 FR 
35385, 35385 (July 23, 2025) (prioritizing the rapid and efficient 
buildout of AI data centers and the infrastructure that power them 
by easing Federal regulatory burdens); E.O. 14319, 90 FR at 35389 
(noting agencies have an ``obligation not to procure [AI] models 
that sacrifice truthfulness and accuracy to ideological agendas''); 
E.O. 14320, Promoting the Export of the American AI Technology 
Stack, 90 FR 35393, 35393 (July 23, 2025) (establishing a 
coordinated national effort to support the American AI industry by 
promoting the export of full-stack American AI technology packages).
    \6\ See, e.g., E.O. 14148, Initial Rescissions of Harmful 
Executive Orders and Actions, 90 FR 8237, 8240 (Jan. 20, 2025), 
https://www.govinfo.gov/content/pkg/FR-2025-01-28/pdf/2025-01901.pdf 
(revoking E.O. 14110, Safe, Secure, and Trustworthy Development and 
Use of Artificial Intelligence, 88 FR 75191 (Oct. 30, 2023)); E.O. 
14179, Removing Barriers to American Leadership in Artificial 
Intelligence, 90 FR 8741, 8741-42 (Jan. 23, 2025), www.govinfo.gov/content/pkg/FR-2025-01-31/pdf/2025-02172.pdf.
    \7\ E.O. 14179, 90 FR at 8741; Vance AI Summit Remarks, supra 
note 4.
    \8\ The White House, National Policy Framework for Artificial 
Intelligence (Mar. 20, 2026).
    \9\ Id.
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    America's AI Action Plan and other critical executive actions 
strike that balance between accelerating innovation and protecting 
Americans,\10\ but anti-innovation States' recent efforts to regulate 
AI are concerning. The growing number of enacted and proposed State AI 
laws threatens to create a patchwork of regulatory regimes and 
compliance challenges for American companies.\11\ For example, some 
States have enacted laws regulating the outputs of various AI models, 
ultimately requiring American companies to embed ``ideological bias 
within [their AI] models.'' \12\
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    \10\ See supra note 6.
    \11\ See The White House, Fact Sheet: President Donald J. Trump 
Ensures a National Policy Framework for Artificial Intelligence 
(Dec. 11, 2025), https://www.whitehouse.gov/fact-sheets/2025/12/fact-sheet-president-donald-j-trump-ensures-a-national-policy-framework-for-artificial-intelligence/ [hereinafter ``AI National 
Policy Fact Sheet''] (``State legislatures have introduced over 
1,000 different AI bills[.]''); E.O. 14319, 90 FR at 35389.
    \12\ See, e.g., E.O. 14365, Ensuring a National Policy Framework 
for Artificial Intelligence, 90 FR 58499, 58499 (Dec. 11, 2025) 
(``For example, a new Colorado law banning `algorithmic 
discrimination' may even force AI models to produce false results in 
order to avoid a `differential treatment or impact' on protected 
groups.''); AI National Policy Fact Sheet, supra note 11 (``States 
such as California and Colorado are considering requiring AI 
companies to censor outputs and insert left-wing ideology in their 
programming.''). Colorado has since materially revised the law 
referred to by this Executive Order, but the new version poses many 
of the same concerns. See infra note 43.
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    On December 11, 2025, President Trump signed Executive Order 14365, 
``Ensuring a National Policy Framework for Artificial Intelligence.'' 
\13\ The Executive Order builds on the Administration's prior work to 
encourage adoption of AI and remove regulatory barriers, aiming to 
``sustain and enhance the United States' global AI dominance'' by 
establishing a ``minimally burdensome national policy framework for 
AI--not 50 discordant State ones.'' \14\ The Executive Order directs 
the Commission to issue this enforcement policy statement clarifying 
the application of section 5 of the Federal Trade Commission Act (``FTC 
Act'') to AI models, and in particular, address how State laws 
requiring alterations to the accurate outputs of AI models can conflict 
with the requirements of the FTC Act.\15\
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    \13\ E.O. 14365, 90 FR at 58499.
    \14\ Id.
    \15\ Id. at 58500 (Section 7).
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III. The Commission's Authority Under Section 5 of the FTC Act

    Nearly ninety years ago, Congress gave the Commission the authority 
to protect consumers from ``unfair or deceptive acts or practices in or 
affecting commerce.'' \16\ Importantly, Congress did not provide State-
law safe harbors--even where a State's laws shape the provision of 
those products or services, companies must comply with section 5.
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    \16\ Wheeler-Lea Act, Public Law 75-447, 52 Stat. 111 (1938) 
(codified in relevant part at 15 U.S.C. 45(a)(1)).
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    Section 5 of the FTC Act's prohibition on deceptive acts or 
practices secures consumers' right to truth in the marketplace.\17\ In 
our 1983 Policy Statement on Deception, we said ``the Commission will 
find deception if there is a representation, omission or practice that 
is likely to mislead the consumer acting reasonably in the 
circumstances, to the consumer's detriment.'' \18\ This test, which 
``undergird[s] all deception cases,'' consists of three elements.\19\ 
``First, there must be a representation, omission or practice that is 
likely to mislead the consumer.'' \20\ ``Second, we examine the 
practice from the perspective of a consumer acting reasonably in the 
circumstances.'' \21\ And ``[t]hird, the representation, omission or 
practice must be a material one,'' such that it is ``likely to affect 
the consumer's conduct or decision with regard to a product or 
service.'' \22\
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    \17\ In re Int'l Harvester Co., 104 F.T.C. 949, 1056 (1984).
    \18\ FTC Policy Statement on Deception (``Deception Policy 
Statement''), 103 F.T.C. 174, 183 (1984), (appended to In re 
Cliffdale Assocs., Inc., 103 F.T.C. 110 (1984)), https://www.ftc.gov/legal-library/browse/ftc-policy-statement-deception.
    \19\ Id. at 175.
    \20\ Id.
    \21\ Id.
    \22\ Id. Material information affects a consumer's decision to 
purchase a product but may also affect other kinds of consumer 
conduct. Id. at 182 n.45 (citing the Commission's complaint in 
Volkswagen of America, 99 F.T.C. 446 (1982)).
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    Federal courts have adopted the same principles in assessing 
whether an act or practice is deceptive.\23\ Courts have also held the 
Commission's deception authority covers implied misrepresentations, 
half-truths,\24\ and instances where only a ``significant minority'' of 
consumers are misled.\25\ Moreover, courts have recognized the 
Commission's deception authority requires the entity to substantiate 
the representation it makes about its products or services with 
sufficient evidence.\26\ At its core, the Commission's deception 
authority is based on ``well-established principles of advertising law 
and common sense.'' \27\
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    \23\ See, e.g., FTC v. Pukke, 53 F.4th 80, 104 (4th Cir. 2022); 
FTC v. Moses, 913 F.3d 297, 306 (2d Cir. 2019); FTC v. E.M.A. 
Nationwide, Inc., 767 F.3d 611, 631 (6th Cir. 2014).
    \24\ See, e.g., Novartis Corp. v. FTC, 223 F.3d 783, 787 (D.C. 
Cir. 2000); Fanning v. FTC, 821 F.3d 164, 170-72 (1st Cir. 2016); 
Kraft, Inc. v. FTC, 970 F.2d 311, 322 (7th Cir. 1992).
    \25\ ECM Biofilms, Inc. v. FTC, 851 F.3d 599, 610 (6th Cir. 
2017) (quoting POM Wonderful, LLC v. FTC, 777 F.3d 478, 490 (D.C. 
Cir. 2015)). A small proportion of consumers, such as 10%, can 
constitute a ``significant minority.'' See, e.g., Telebrands Corp., 
140 F.T.C. 278, 325 (2005), aff'd, 457 F.3d 354 (4th Cir. 2006) 
(10.5% is significant); Firestone Tire & Rubber Co. v. FTC, 481 F.2d 
246, 249 (6th Cir. 1973) (10-15% is significant).
    \26\ See, e.g., POM Wonderful, 777 F.3d at 490-91; FTC v. Direct 
Mktg. Concepts, Inc., 624 F.3d 1, 8 (1st Cir. 2010); FTC v. Nat'l 
Urological Grp., Inc., 645 F. Supp. 2d 1167, 1190 (N.D. Ga. 2008), 
aff'd, 356 F. App'x 358 (11th Cir. 2009).
    \27\ FTC v. Com. Planet, Inc., 878 F. Supp. 2d 1048, 1083 (C.D. 
Cal. 2012), aff'd in part, 642 F. App'x 680 (9th Cir. 2016); see 
also FTC v. Johnson, 96 F. Supp. 3d 1110, 1142 (D. Nev. 2015) 
(rejecting ``fair notice'' argument as to section 5(a) liability and 
noting there is ``extensive case law and guidance on what 
constitutes a deceptive act or practice under Section 5(a)'').
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    The Commission has applied the principles underlying its section 5 
deception authority to address false or misleading claims in a 
multitude of factual circumstances and across a wide variety of 
products and services,\28\ including new and evolving technologies.\29\ 
And we have taken aim at companies that failed to provide adequate 
disclosures,\30\ as well as

[[Page 41640]]

governmental and private standard-setting entities that sought to 
restrict truthful advertising.\31\
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    \28\ See, e.g., FTC v. Fleetcor Techs., Inc., 620 F. Supp. 3d 
1268, 1289-1313 (N.D. Ga. 2022) (fuel cards and discounts), aff'd 
sub nom FTC v. Corpay, Inc., 164 F.4th 807 (11th Cir. 2026); FTC v. 
D-Link Sys., Inc., No. 3:17-CV-00039-JD, 2017 WL 4150873, at *2 
(N.D. Cal. Sept. 19, 2017) (data security and protections for IoT 
devices); Pom Wonderful, 777 F.3d at 490-500 (dietary supplements); 
Com. Planet, Inc., 878 F. Supp. 2d at 1083 (online web pages and 
negative option plans).
    \29\ See, e.g., Stipulated Order, FTC v. Amazon.com, Inc., No. 
2:23-CV-00932-JHC (W.D. Wash. Sept. 25, 2025), Dkt. No. 535 
(enrolling consumers into online shopping memberships without 
consumers' express informed consent); Compl., United States v. 
Facebook, No. 19-cv-2184 (D.D.C. July 24, 2019), Dkt. No. 1 
(misrepresenting that users would have to ``turn[] on'' facial-
recognition technology); Compl., FTC v. New Consumer Sols., LLC, No. 
1:15-cv-01614 (N.D. Ill. Feb. 23, 2015), Dkt. No. 1 (misrepresenting 
ability to detect melanoma by analyzing pictures of consumers' 
skin); Compl., In re Sears Holdings Mgmt. Corp., FTC Docket No. C-
4264 (Sept. 9, 2009) (tracking consumers' ``online browsing'').
    \30\ See, e.g., FTC v. LendingClub Corp., No. 18-CV-02454-JSC, 
2020 WL 2838827, at *6 (N.D. Cal. June 1, 2020) (inadequate 
disclosures of loan origination fees); see also FTC v. 
Cyberspace.Com LLC, 453 F.3d 1196, 1200 (9th Cir. 2006) (``A 
solicitation may be likely to mislead by virtue of the net 
impression it creates even though the solicitation also contains 
truthful disclosures.'').
    \31\ See, e.g., In re Am. Med. Ass'n, 94 F.T.C. 701, 235 (1979) 
(restricting physician advertising).
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IV. Deceiving Consumers as to the Objectives of an AI System Is a 
Section 5 Violation

    AI products and services are not exempt from section 5's long-
established, and generally applicable reach. The Commission has already 
brought a number of recent enforcement actions to combat deceptive 
claims in connection with AI-powered scams, as well as material 
misrepresentations about the performance, efficacy, and characteristics 
of AI products.\32\ For instance, the Commission recently invoked well-
established section 5 principles to address an AI company's misleading 
claims about the ability of its conversational AI tool to replace human 
customer service representatives.\33\ Although the Commission is 
careful to avoid unduly burdening innovation in the AI industry,\34\ 
the Commission will continue to protect consumers and the market from 
deceptive or unfair business practices, including those relying on AI 
systems or technologies, by using well-established section 5 
principles.
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    \32\ See, e.g., Consent Order, In re Workado, LLC, No. C-4822 
(F.T.C. Aug. 21, 2025) (deceptive claims regarding accuracy or 
efficacy of its AI-content detection products), https://www.ftc.gov/system/files/ftc_gov/pdf/ContentatScaleAI-DecisionandOrder.pdf; 
Stipulated Order, FTC v. TheFBAMachine Inc., No. 24-cv-6635-JXN-LDW 
(D.N.J. July 31, 2025), Dkt. No. 162 (falsely guaranteeing consumers 
could make money operating online storefronts using AI-powered 
software); Consent Order, In re DoNotPay, Inc., FTC Docket No. C-
4812 (Jan. 14, 2025) (deceptive claims about the ability of its AI 
chatbot to replace the services of a human lawyer), https://www.ftc.gov/system/files/ftc_gov/pdf/2323042_donotpay_decision_and_order_0.pdf; Consent Order, In re 
Intellivision Techs. Corp., No. C-4809 (F.T.C. Jan. 8, 2025) 
(deceptive claims regarding accuracy or efficacy of its AI-powered 
facial recognition software), https://www.ftc.gov/system/files/ftc_gov/pdf/2323023c4809intellivisionfinalorder.pdf; Stipulated 
Order, FTC v. Evolv Techs. Holdings, Inc., No. 1:24-cv-12940-PGL (D. 
Mass. Nov. 26, 2024), Dkt. No. 2 (false claims about the efficacy of 
its AI-powered security screening system for detecting weapons).
    \33\ See Compl., FTC v. Air Ai Techs., Inc., No. 2:25-cv-03068-
SMB (D. Ariz. Aug. 25, 2025), Dkt. No. 1 (deceptive claims regarding 
efficacy and profitability related to the company's ``conversational 
AI'' product).
    \34\ In fact, the Commission has already taken steps to address 
these unnecessary burdens, for example, by setting aside the 
previous Commission's order against a generative AI company. See 
Order Reopening and Setting Aside Order at 5, In re Rytr LLC, FTC 
Docket C-4806 (Dec. 22, 2025), https://www.ftc.gov/system/files/ftc_gov/pdf/Rytr-Order.pdf (``Where actors use AI to violate the law 
or deceive consumers about the capabilities of their generative AI, 
they should be held accountable, as the FTC has done and will 
continue to do. But that is not the case here. Rushing in to impose 
aggressive law enforcement unsupported by facts or law is improper 
and is not in the public interest.'').
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    In marketing their products as problem-solving tools, AI companies 
have represented explicitly and implicitly that their AI systems aim to 
produce the best output possible given technological and resource 
constraints.\35\ AI companies aggressively market themselves as 
building products and services that distill all of human knowledge to 
solve problems, large and small, in furtherance of users' given 
objectives.\36\ This is because companies know their success depends on 
their products' utility, and an AI system's utility is a function of 
its ability to accomplish the objectives users ask it to 
accomplish.\37\
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    \35\ See, e.g., OpenAI, Why Language Models Hallucinate (Sept. 
5, 2025) (``At OpenAI, we're working hard to make AI systems more 
useful and reliable. Even as language models become more capable, 
one challenge remains stubbornly hard to fully solve: 
hallucinations.''), https://openai.com/index/why-language-models-hallucinate/; Anthropic, Claude Product Overview, https://claude.com/product/overview (last visited May 22, 2026) (``Meet your 
thinking partner . . . Tackle any big, bold, bewildering challenge 
with Claude . . . The AI for problem solvers . . . Tackle your 
toughest work . . . Like an expert in your pocket . . . There's 
never been a worse time to be a problem, or a better time to be a 
problem solver . . . What problem are you up against?''); Anthropic, 
How People Ask Claude for Personal Guidance, https://www.anthropic.com/research/claude-personal-guidancehttps://www.anthropic.com/research/claude-personal-guidance (Apr. 30, 2026) 
(``Helpfulness is one of Claude's most important traits. Speaking 
with Claude should be akin to a conversation with a brilliant 
friend, one who will speak frankly to a person about their 
situation, providing information grounded in evidence.''); X.ai, 
Chat With Grok, https://x.ai/grok (last accessed May 20, 2026) 
(``Grok is your truth-seeking AI companion for unfiltered answers 
with advanced capabilities in reasoning, coding, and visual 
processing.'').
    \36\ See, e.g., Anthropic, Claude, https://claude.com (last 
visited May 22, 2026) (``What is Claude and how does it work? Claude 
is an artificial intelligence, trained by Anthropic using 
Constitutional AI to be safe, accurate, and secure--the trusted 
assistant for you to do your best work. . . . What should I use 
Claude for? If you can dream it, Claude can help you do it. Claude 
can process large amounts of information, brainstorm ideas, generate 
text and code, help you understand subjects, coach you through 
difficult situations, simplify your busywork so you can focus on 
what matters most, and so much more.''); OpenAI, ChatGPT 
Capabilities Overview https://help.openai.com/en/articles/9260256-chatgpt-capabilities-overview (last visited Mar. 17, 2026) (touting 
ChatGPT's ability to solve problems); OpenAI, Extracting Insights 
with ChatGPT Data Analysis, https://help.openai.com/en/articles/9213685-extracting-insights-with-chatgpt-data-analysis (last visited 
Mar. 17, 2026) (claiming ChatGPT can identify missing or outlier 
data); OpenAI, ChatGPT for Healthcare, https://help.openai.com/en/articles/20001046-chatgpt-for-healthcare (last visited Mar. 17, 
2026) (``ChatGPT for Healthcare can pull from millions of peer-
reviewed studies, clinical guidelines, and public health sources'' 
to ``[g]et clinical answers with citations'' that ``perform[] better 
than human baselines across every role measured'').
    \37\ Similarly, an ability to make accurate predictions, 
correctly solve problems, or make good decisions hinges on AI 
systems operating without undisclosed ideological biases that 
contradict explicit and implicit claims of accuracy and neutrality. 
Though the exact line of what constitutes bias may be difficult to 
draw, forcing an AI system to prioritize a singular ideological 
objective over all else is on the wrong side. See Concurring 
Statement of Comm'r Andrew N. Ferguson, In re IntelliVision Techs. 
Corp., Matter No. 2323023, at 1 (F.T.C. Dec. 3, 2024), https://www.ftc.gov/system/files/ftc_gov/pdf/intellivision-ferguson-concurrence.pdf.
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    Consumers share this understanding of the purpose of AI systems and 
have learned to trust these systems across a broad swath of 
applications, from education to health, finance, relationships or a 
myriad of other uses.\38\ In fact, according to one major AI developer, 
consumers accept AI system outputs without conducting any further fact 
checking over 90% of the time, even though these systems purport to 
only strive for, rather than guarantee, complete accuracy.\39\ In other 
words, consumers ask AI systems for help answering deeply personal and 
important questions, and they overwhelmingly trust that the system is 
designed to provide an answer tailored specifically to their 
objectives.\40\ And because of both the companies' marketing and the 
inherent value proposition of an AI system, this widely

[[Page 41641]]

held consumer expectation is eminently reasonable.
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    \38\ Paulo Vargas, Your Teen Is Probably Using AI for Homework, 
Digital Trends (Mar. 2, 2026) (``More than half of U.S. teens ages 
13 to 17 say they have turned to chatbots . . . for school 
tasks.''), https://www.digitaltrends.com/computing/your-teen-is-probably-using-ai-for-homework/; Walt Williams, Survey: Consumers 
Increasingly Turn to AI for Financial Advice, ABA Banking Journal 
(Sept. 2, 2025) (``A majority of consumers are turning to artificial 
intelligence for financial advice . . . .''), https://bankingjournal.aba.com/2025/09/survey-consumers-increasingly-turn-to-ai-for-financial-advice/; Theo Burman, Americans Are Using AI To 
Diagnose Their Health Issues, Newsweek (July 20, 2025) (``Both 
clinicians and patients are using artificial intelligence more and 
more to help diagnose illness and injuries . . . .''), https://www.newsweek.com/ai-healthcare-diagnosis-chatgpt-doctor-2100091; How 
People Ask Claude for Personal Guidance, Anthropic (Apr. 30, 2026) 
(finding 12% of all conversations with the Claude program concerned 
relationship navigation, 6% concerned personal development, and 4% 
concerned spirituality), https://www.anthropic.com/research/claude-personal-guidance.
    \39\ Ted Ladd, Anthropic: 91% of Users Do Not Fact-Check AI. 
Let's Fix That, Forbes (Mar. 5, 2026), https://www.forbes.com/sites/tedladd/2026/03/05/anthropic-91-of-users-do-not-fact-check-ai-lets-fix-that/.
    \40\ Reasonable consumers would not expect, of course, that an 
AI system would output content that is clearly and unequivocally not 
protected by the First Amendment, such as child pornography. And 
nothing in this statement shall be construed to prohibit companies 
from imposing limits on model use to prevent cybersecurity attacks.
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    Of course, AI systems are likely to simultaneously pursue multiple 
objectives, some explicit and some implicit. This will often be 
consistent with consumers' reasonable expectations. Users of an AI 
chatbot might, for example, reasonably expect the system to balance 
succinctness, clarity, relevance, accuracy, and other objectives in its 
attempt to produce the best output. And while truth and accuracy are in 
many cases implicit objectives in requests to AI systems, a user could 
request output that is intentionally inaccurate or that deprioritizes 
accuracy in favor of some other objective like entertainment.
    These representations and baseline consumer expectations 
notwithstanding, AI companies might steer their systems' outputs toward 
objectives other than those that consumers ask for or expect. A company 
could be tempted, for example, to abuse consumer trust by training a 
model surreptitiously to produce ideologically motivated distortions in 
a response to a factual question, such as to correct what the developer 
believes are ``historical injustices'' in the facts.\41\ Or a company 
could be pressured by a State law to alter its technology's outputs. 
The original version of Colorado's Artificial Intelligence Act,\42\ for 
example, imposed a broad duty on AI companies to avoid output that 
might lead to disparate impacts in various contexts, including when a 
customer's foreseeable use of that output could itself create a 
disparate impact. And the revised version of that law explicitly 
provides AI companies can be held liable for discriminatory outcomes 
caused by their customers' use of their products.\43\ It is predictable 
that an AI company might suppress accuracy and interpose other 
objectives, such as so-called ``equity,'' to avoid liability under this 
law, but fail to disclose these ulterior objectives in order to hide 
the loss of accuracy they necessitate.\44\ AI companies may also be 
subject to public pressure to surreptitiously avoid politically 
inflammatory outputs, as well as the temptation to clandestinely modify 
their AI systems to further their own or their employees' political 
agendas.
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    \41\ See, e.g., Leo Briceno, Anthropic's Moral Compass Architect 
Suggested AI Overcorrection Could Address Historical Injustices, Fox 
News (Apr. 22, 2026), https://www.foxnews.com/politics/anthropics-moral-compass-architect-suggested-ai-overcorrection-could-address-historical-injustices.
    \42\ Colo. Sen. Bill 24-205 (enacted May 17, 2024), repealed and 
reenacted, as amended, by Colo. Sen. Bill 26-189 (enacted May 14, 
2026).
    \43\ Colo. Sen. Bill 26-189, 6-1-1707 (enacted May 14, 2026).
    \44\ See E.O. 14281, Restoring Equality of Opportunity and 
Meritocracy, at sec. 1, 90 FR 17537 (Apr. 23, 2025) (``Disparate-
impact liability all but requires individuals and businesses to 
consider race and engage in racial balancing to avoid potentially 
crippling legal liability. . . . On a practical level, disparate-
impact liability has hindered businesses from making hiring and 
other employment decisions based on merit and skill, their needs, or 
the needs of their customers because of the specter that such a 
process might lead to disparate outcomes, and thus disparate-impact 
lawsuits. . . . Disparate-impact liability imperils the 
effectiveness of civil rights laws by mandating, rather than 
proscribing, discrimination.''). Indeed, it seems likely a law 
restricting truthful speech because it might lead another person to 
commit disparate impact discrimination would not survive First 
Amendment scrutiny, but that is orthogonal to the FTC Act issues we 
address here.
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    In light of the above, the Commission believes AI companies that 
steer the outputs of their AI systems toward unexpected objectives, and 
away from the objectives set by or reasonably expected by users, are 
likely to deceive \45\ consumers in violation of section 5 of the FTC 
Act.\46\ AI companies have made both explicit and implicit 
representations that their systems aim to produce outputs that achieve 
users' objectives as faithfully and accurately as they can.\47\ Those 
representations, absent adequate disclaimers or qualifications, are 
material as consumers rely on them and are likely to consider, in their 
decision as to which AI system to use or pay for, whether a particular 
system is designed to produce output accomplishing their objectives or 
to intentionally produce a worse output in service of another 
objective. Consumers may be induced to pay for a service that does not 
behave as advertised. Consumers may also be deceived into relying on a 
technology that, by design, produces worse outputs and may recommend 
suboptimal courses of action, not because of any technological or 
resource limitations, but because the AI developer's hidden agenda 
subverted consumers' objectives.
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    \45\ The Commission at this time takes no position on whether 
the practices discussed in this statement may also be unfair under 
the FTC Act.
    \46\ This conduct is distinct from the problem of incorrect 
output from AI systems, frequently called ``hallucinations,'' that 
stem not from a design decision to prioritize objectives contrary to 
users' reasonable expectations, but from the technological and 
resource limitations AI systems necessarily reflect. While a company 
may, for example, unlawfully deceive consumers if it misrepresents 
the likelihood of such hallucinations, the Commission does not 
believe such hallucinations in and of themselves raise issues under 
section 5 or any other law the Commission enforces.
    \47\ See supra notes 35 & 36.
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    As is always the case, a company's motives for deceiving consumers 
are irrelevant to the application of section 5.\48\ Whether motivated 
by profit, shaping public opinion, or anything else, section 5 
prohibits deceiving consumers. These prohibitions apply even when a 
company engages in a deceptive act or practice in order to comply with 
a State law. Although the FTC Act does not expressly preempt State law, 
State law is impliedly preempted to the extent it conflicts with a 
Federal regulatory scheme.\49\ A State law that requires an AI firm to 
deceive its consumers obviously conflicts with section 5's express 
purpose of protecting consumers from such conduct.
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    \48\ FTC v. Bay Area Bus. Council, 423 F.3d 627, 635 (7th Cir. 
2005) (deception); In re Kraft, Inc., 114 F.T.C. 40, 122 (1991) 
(deception).
    \49\ Schneidewind v. ANR Pipeline Co., 485 U.S. 293, 300 (1988) 
(``[S]tate law is pre-empted when it actually conflicts with federal 
law. Such conflict will be found when it is impossible to comply 
with both state and federal law, or where the state law stands as an 
obstacle of the full purposes and objectives of Congress.'' 
(internal quotations omitted)).
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    An AI company can, of course, take actions that shape consumer 
expectations in ways that make it unreasonable for consumers to believe 
the AI system is designed to achieve the objectives that consumers 
would otherwise expect. A company can, for example, clearly and 
conspicuously disclose that its systems are designed to produce outputs 
that prioritize certain objectives over what users request and 
otherwise expect. But such a disclaimer would have to be adequate to 
shift consumer expectations that would be based otherwise both on 
companies' explicit representations and on the inherent value 
proposition of AI systems as tools to solve human problems. An adequate 
disclaimer could not be buried in terms of service, for instance. It 
would have to clearly and conspicuously dispel the notion that the 
system is designed to give the best answer possible. Such a disclaimer 
would need to be prominent, and it is doubtful a one-time disclosure 
subsequently hidden away in fine print would suffice. The more the 
disclosure cuts against the reasonable expectations users would take 
away from other contexts, the more persistent and prominent it would 
need to be.\50\ A prominent misrepresentation is unlikely to be 
remedied by a less prominent,

[[Page 41642]]

subsequent disclosure.\51\ Ultimately, it is the company's 
responsibility to ensure compliance with section 5.
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    \50\ FTC v. Direct Mktg. Concepts, Inc., 624 F.3d 1, 12 (1st 
Cir. 2010) (explaining disclaimers ``are not adequate to avoid 
liability unless they are sufficiently prominent and unambiguous to 
change the apparent meaning of the claims and to leave an accurate 
impression'')); Removatron Int'l Corp. v. FTC, 884 F.2d 1489, 1497 
(1st Cir.1989) (``[d]isclaimers or qualifications in any particular 
ad are not adequate to avoid liability unless they are sufficiently 
prominent and unambiguous to change the apparent meaning of the 
claims and to leave an accurate impression.'').
    \51\ See, e.g., Deception Policy Statement at *48, supra note 18 
(``Depending on the circumstances, accurate information in the text 
may not remedy a false headline because reasonable consumer may 
glance only at the headline.''); see also FTC v. Corpay, Inc., 164 
F.4th 807, 836 (11th Cir. Jan. 6, 2026) (disclaimers or qualifying 
language may not correct a misleading impression when the disclaimer 
``is small, ambiguous, or contradicted by the body of the ad'') 
(citing FTC v. Cyberspace.com LLC, 453 F.3d 1198, 1200-01 (9th Cir. 
2006); FTC v. Direct Mktg. Concepts, Inc., 624 F.3d 1, 12 (1st Cir. 
2010) (explaining disclaimers ``are not adequate to avoid liability 
unless they are sufficiently prominent and unambiguous to change the 
apparent meaning of the claims and to leave an accurate 
impression''); Removatron Int'l Corp. v. FTC, 884 F.2d 1489, 1497 
(1st Cir.1989) (``[d]isclaimers or qualifications in any particular 
ad are not adequate to avoid liability unless they are sufficiently 
prominent and unambiguous to change the apparent meaning of the 
claims and to leave an accurate impression.'').
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V. Comment Submissions

    You can file a comment online or on paper. For the Commission to 
consider your comment, we must receive it on or before Friday, July 31, 
2026. Write ``AI Policy Statement; Matter No. P264200'' on your 
comment. Your comment--including your name and your State--will be 
placed on the public record of this proceeding, including, to the 
extent practicable, on the https://www.regulations.gov website.
    We encourage you to submit comments through the https://www.regulations.gov website. Postal mail addressed to the Commission 
will be subject to delay because of heightened security screening. If 
you prefer to file your comment on paper, write ``AI Policy Statement; 
Matter No. P264200'' on your comment and on the envelope, and send it 
via overnight service to: Federal Trade Commission, Office of the 
Secretary, 600 Pennsylvania Avenue NW, Mail Stop H-144 (Annex P), 
Washington, DC 20580.
    Because your comment will be placed on the publicly accessible 
website at https://www.regulations.gov, you are solely responsible for 
making sure your comment does not include any sensitive or confidential 
information. In particular, your comment should not include sensitive 
personal information, such as your or anyone else's Social Security 
number; date of birth; driver's license number or other State 
identification number, or foreign country equivalent; passport number; 
financial account number; or credit or debit card number. You are also 
solely responsible for making sure your comment does not include 
sensitive health information, such as medical records or other 
individually identifiable health information. In addition, your comment 
should not include any ``trade secret or any commercial or financial 
information which . . . is privileged or confidential''--as provided by 
section 6(f) of the FTC Act, 15 U.S.C. 46(f), and FTC Rule 4.10(a)(2), 
16 CFR 4.10(a)(2)--including competitively sensitive information such 
as costs, sales statistics, inventories, formulas, patterns, devices, 
manufacturing processes, or customer names.
    Comments containing material for which confidential treatment is 
requested must be filed in paper form, must be clearly labeled 
``Confidential,'' and must comply with FTC Rule 4.9(c). In particular, 
the written request for confidential treatment that accompanies the 
comment must include the factual and legal basis for the request and 
must identify the specific portions of the comment to be withheld from 
the public record. See FTC Rule 4.9(c). Your comment will be kept 
confidential only if the General Counsel grants your request in 
accordance with the law and the public interest. Once your comment has 
been posted on the https://www.regulations.gov website--as legally 
required by FTC Rule 4.9(b)--we cannot redact or remove your comment 
from that website, unless you submit a confidentiality request that 
meets the requirements for such treatment under FTC Rule 4.9(c), and 
the General Counsel grants that request.
    The FTC Act and other laws the Commission administers permit the 
collection of public comments to consider and use in this proceeding, 
as appropriate. The Commission will consider all timely and responsive 
public comments it receives on or before Friday, July 31, 2026. For 
information on the Commission's privacy policy, including routine uses 
permitted by the Privacy Act, see https://www.ftc.gov/site-information/privacy-policy.

    By direction of the Commission.
April J. Tabor,
Secretary.
[FR Doc. 2026-13628 Filed 7-6-26; 8:45 am]
BILLING CODE 6750-01-P