AI Advertising Disclosure Act
- Sponsor
- Rep. Magaziner, Seth [D-RI-2]
- Committees
- Energy and Commerce Committee (primary)
- Last action
- Aug 24, 2026
Bottom line
The bill aims to enhance transparency in AI-generated content by requiring explicit disclosures for commercially influenced responses, thereby protecting consumers from undisclosed advertising and empowering them with legal recourse.
What it actually does
This bill mandates that AI tools, such as chatbots and generative search features, clearly disclose when their responses are influenced by commercial arrangements, including sponsored content, affiliate links, or third-party funding. It prohibits deceptive practices like AI systems denying their nature or commercial ties and establishes enforcement mechanisms for the Federal Trade Commission, state attorneys general, and private individuals.
Proponents argue
Proponents argue that as AI tools increasingly shape information and recommendations, consumers need robust protection against hidden commercial biases. This bill ensures transparency, allowing users to make informed decisions and fostering trust in AI by preventing deceptive advertising practices in a rapidly evolving digital landscape. It also creates a more equitable environment for ethical advertisers.
Opponents contend
Opponents might contend that the bill's broad disclosure requirements and definitions of 'commercial arrangement' could impose significant and potentially unfeasible compliance burdens on AI developers and operators, potentially stifling innovation. They may also argue that existing consumer protection laws are sufficient or that the detailed disclosure mandates could lead to 'disclosure fatigue' for users.
The bill is relatively concise and clearly structured, allowing a diligent reader to understand its core provisions and implications within a reasonable timeframe.
Section 2(a)(1)
Mandatory Disclosure for Commercially Influenced AI Responses
This provision requires covered AI tools to disclose when their responses mention, recommend, or favorably present a product, service, or entity due to a commercial arrangement. This includes instances where the response is influenced by third-party funding or data, or contains affiliate links, even if the user did not explicitly request a product recommendation.
Supporters argue
This provision is crucial for ensuring consumers are aware when AI-generated content is influenced by commercial interests rather than being purely objective, thereby fostering trust and fair advertising practices.
Critics contend
Critics might argue that requiring disclosures for every minor commercial influence could lead to 'disclosure fatigue,' cluttering user interfaces and potentially diminishing the impact of important warnings.
Tradeoffs
Balancing comprehensive consumer protection with the practicalities of AI system design and user experience to avoid overwhelming users with disclosures.
Section 2(a)(2)
Clear and Conspicuous Disclosure Standards
This section specifies that disclosures must be clear, conspicuous, in plain language, and visible without scrolling. They must be provided with or before the relevant content, identify the specific nature of the commercial relationship (e.g., 'paid promotion'), be retained if the conversation is saved or shared, and not be obscured by design. For voice-based tools, disclosures must be delivered without audio effects that reduce their salience.
Section 2(b)
Prohibitions on Deceptive AI Practices
This provision prohibits covered entities from allowing their AI tools to engage in specific deceptive practices. These include instructing an AI system to deny being AI or being in a commercial relationship when directly asked, using design patterns that obscure or minimize required disclosures, or presenting sponsored content as if it were the product of organic AI reasoning.
Section 2(c)(1)
Internal Commercial Arrangement Registry Requirement
Covered entities are required to maintain an internal registry of every third-party commercial arrangement that influences AI-generated content. This registry must be updated in real-time to ensure accuracy and completeness.
Section 2(c)(2)
User Ability to Query Commercial Influence
This provision mandates that covered entities must provide users with the ability to ask, within any given session or conversation, whether any response they received was subject to a commercial arrangement. This empowers users to actively seek transparency.
Section 2(d), 2(e)
FTC Rulemaking and Enforcement Authority
This grants the Federal Trade Commission (FTC) the authority to issue regulations within 180 days of enactment and every three years thereafter to implement the Act, adapting to changes in AI technology. Violations of the Act or its regulations will be treated as unfair or deceptive acts under the FTC Act, giving the FTC full enforcement powers, including investigations and penalties.
Section 2(f)
State Enforcement Authority
This provision allows State attorneys general or other State officials to bring civil actions on behalf of their residents in State or federal court to enjoin violations, enforce compliance, obtain damages or restitution, or seek other legal and equitable relief. States must provide written notice to the FTC before filing, and the FTC has the right to intervene. State actions are limited if a federal action is already pending against the same defendant for the same violation.
Section 2(g)
Individual Private Right of Action
This grants individuals injured by a violation of the Act or its regulations the right to bring a civil action in State or federal court. They can seek an injunction, recover actual monetary loss, or receive up to $1,000 per violation, whichever is greater. For willful or knowing violations, courts may award up to three times this amount. Prevailing plaintiffs are entitled to costs and reasonable attorney's fees. Actions must be filed within two years of discovering the violation.
Defines a 'covered entity' as any person, company, or organization operating a covered tool for consumer-facing use with more than 50,000 monthly active users.
Section 2(h)(4)
Why it matters:It is standard legislative practice to define the scope of applicability in a definitions section, but the specific user threshold is a key operational detail that determines who is regulated.
Case for: Supporters would argue this threshold targets larger, more impactful AI services, focusing regulatory efforts where they are most needed and avoiding undue burden on small startups or internal-use AI tools.
Case against: Critics might argue that a 50,000 monthly active user threshold could allow smaller but still influential AI tools to operate without these disclosure requirements, potentially creating a loophole or an uneven playing field.
Estimated impact: Exempts smaller AI developers and operators from the compliance burden, while imposing it on established platforms.
Defines 'commercial arrangement' broadly as 'an exchange of money, data, preferential access, or other consideration that influences the content of an AI-generated response.'
Section 2(h)(3)
Why it matters:While definitions are typically placed here, the breadth of 'other consideration' is particularly significant for how the law will be applied, potentially capturing a wide array of non-monetary influences.
Case for: Proponents would argue this broad definition is necessary to capture various forms of commercial influence beyond direct payments, preventing companies from circumventing the law through indirect benefits or data-sharing agreements.
Case against: Opponents might contend that 'other consideration' is vague and could lead to uncertainty for AI developers, making it difficult to determine what exactly constitutes a reportable commercial arrangement and potentially over-regulating non-monetary exchanges.
Estimated impact: Significantly expands the scope of relationships requiring disclosure beyond simple paid advertisements, encompassing a wider range of influence.
Explicitly includes 'generative search synthesis feature' (e.g., AI summaries in search engines) within the definition of 'covered tool,' regardless of whether the user separately requested a summary or if source citations accompany the generated output.
Section 2(h)(6)
Why it matters:It's a standard definition, but it specifically targets a rapidly evolving and highly visible application of AI that could otherwise be overlooked or argued as distinct from 'AI chatbots.'
Case for: Supporters would argue this ensures that AI-generated summaries in search results, which can heavily influence user perception, are subject to the same transparency requirements, preventing search engines from becoming undisclosed advertising platforms.
Case against: Critics might argue that applying these rules to every synthesized search result, even those with citations, could be overly burdensome for search engine operators and potentially slow down the delivery of helpful AI-powered search features.
Estimated impact: Extends disclosure requirements to major search engines integrating AI summaries, impacting how a vast number of users receive information.