Youth AI Privacy Act
- Sponsor
- Sen. Markey, Edward J. [D-MA]
- Committees
- Commerce, Science, and Transportation Committee (primary)
- Last action
- Aug 5, 2026
Bottom line
The bill aims to protect minors from potential harms associated with AI chatbots by imposing strict design, data privacy, and advertising regulations on developers and deployers.
What it actually does
This bill, the "Youth AI Privacy Act," mandates that entities making artificial intelligence (AI) chatbots available to minors implement specific safe design features. These include clear disclosures that users are interacting with AI, limitations on processing minors' personal data, prohibitions on features designed to encourage compulsive use, and bans on advertising or profiling minors. It also authorizes funding for research into the health effects of AI chatbots on minors and establishes enforcement mechanisms.
Proponents argue
Proponents argue that the bill is necessary to address novel risks posed by AI chatbots to minors, including emotional dependency, compulsive use, misunderstanding AI as human, exposure to harmful outputs, and covert advertising. They emphasize that minors, whose cognitive and emotional capabilities are still developing, are particularly vulnerable to manipulative design features and privacy violations inherent in current AI systems, necessitating legislative intervention to ensure their safety and well-being.
Opponents contend
Critics might contend that the bill's broad restrictions on data processing, advertising, and design features could stifle innovation in the rapidly evolving AI sector, potentially limiting the development of beneficial AI tools for minors. Concerns could also be raised about the practical challenges of implementing and enforcing these regulations, particularly the standard for determining a user's minor status without requiring intrusive age verification, which could lead to over-regulation or inconsistent application.
The bill is moderately complex due to its technical definitions and regulatory requirements, but an informed reader can grasp its core provisions within the estimated reading time.
Section 4(a)
Required Disclosures to Minors
This provision mandates that AI chatbot deployers, when they know a user is a minor, must clearly disclose that the user is interacting with artificial intelligence, not a human, and that the content provided is AI-generated. These disclosures must be in plain language, occur at the beginning of every session, and repeat at least every 30 minutes during a session, with the format determined by the Federal Trade Commission (FTC).
Supporters argue
Supporters argue that clear and frequent disclosures are essential to prevent minors from forming unhealthy emotional bonds with AI chatbots or misunderstanding AI-generated content as human advice, thereby mitigating psychological and developmental risks.
Critics contend
Some in the tech industry might argue that overly frequent or intrusive disclosures could disrupt the user experience, making AI chatbots less engaging or useful, and that the effectiveness of such disclosures in changing minor behavior is unproven.
Tradeoffs
This provision balances the need to protect minors from potential deception and anthropomorphism against concerns about user experience and the practical implementation challenges for AI chatbot developers.
Section 4(b)
Limitation on Processing Personal Data for Outputs
This section directs the FTC to create regulations within one year to prohibit AI chatbot deployers from processing a minor's personal data to generate or personalize outputs, unless that data was collected during the current session and within a maximum permitted period of use defined by the FTC. This aims to limit the retention and use of a minor's data for ongoing personalization.
Section 4(c)
Exclusion of Features That Encourage Compulsive Use
This provision requires the FTC to promulgate regulations prohibiting AI chatbot deployers and developers from configuring chatbots for minors with features designed to encourage compulsive use. This includes rewards for frequency or time spent, push notifications (other than required disclosures), visual awards, unprompted outputs, and usage traces like typing bubbles that mimic human interaction.
Section 5(a)
Prohibition on Advertising and Promotion to Minors
This section prohibits AI chatbot deployers and developers from configuring or modifying an AI chatbot to advertise to minors. It also bans generating outputs that promote, market, recommend, or endorse a product or service to a minor if a financial connection between the deployer/developer and the seller materially affects the weight or credibility of that promotion.
Section 5(b)
Prohibition on Processing Personal Data for Profiling Minors
This provision explicitly prohibits an AI chatbot deployer, with knowledge that a user is a minor, from processing any personal data of that minor for the purpose of profiling. Profiling is defined as processing data to detect and classify personality and behavioral characteristics of a user.
Section 5(c)
Prohibition on Processing or Transferring Personal Data To Train a Covered Algorithm
This section generally prohibits AI chatbot deployers from processing or transferring a minor's personal data to a third party for the purpose of training a covered algorithm. Exceptions are made for processing data specifically for testing and identifying risks of harm to users, or for addressing identified risks of harm to users.
Section 7
Research on Health and Developmental Effects of AI Chatbots on Minors
This section amends existing law (Section 1432 of the Restoring Hope for Mental Health and Well-Being Act of 2022) to include 'AI chatbots' in the scope of research on digital technologies' health and developmental effects. It authorizes an appropriation of $50,000,000 for each of fiscal years 2027 through 2030 to carry out this research.
Section 9(c)
Private Right of Action for Parents/Guardians
This section grants parents or legal guardians of a minor the ability to bring a civil action in court against an AI chatbot deployer or developer for violations of the bill's safe design features or data privacy protections. Successful plaintiffs may be awarded actual damages, punitive damages, attorney's fees, injunctive relief, or other appropriate relief.
The definition of 'knowledge' means actual knowledge or 'knowledge fairly implied on the basis of objective circumstances.'
Section 3(9)
Why it matters:This is standard legislative practice for defining terms used throughout the bill, but its implications are significant for enforcement.
Case for: Supporters argue that this definition is necessary to ensure companies cannot willfully ignore clear indicators that a user is a minor, thereby closing loopholes that might arise from strictly requiring explicit age declarations.
Case against: Critics might argue that 'knowledge fairly implied' is a vague standard that could lead to inconsistent enforcement and create uncertainty for companies trying to comply, potentially forcing them to treat all users as minors to avoid liability.
Estimated impact: This definition fundamentally shapes the applicability and enforceability of all provisions tied to a deployer's 'knowledge' of a user's minor status.
Clarifies that the bill does not require a deployer to affirmatively collect personal information about a user's age or implement age gating or age verification functionality, while still allowing 'knowledge fairly implied' to be determined based on objective circumstances.
Section 10(a)
Why it matters:This is a critical carve-out that addresses a major industry concern (mandated age verification) while preserving the bill's intent, often placed later in bills to refine applicability.
Case for: Supporters argue this provision is crucial for balancing privacy with protection, as it avoids forcing companies to collect more sensitive age data, which could itself be a privacy risk, while still holding them accountable for obvious indicators of a user's age.
Case against: Some critics might argue that without explicit age verification, the 'knowledge fairly implied' standard remains too ambiguous and difficult to enforce consistently, potentially leading to uneven application of the law.
Estimated impact: This provision significantly impacts how AI chatbot companies will approach compliance, allowing them to avoid intrusive age verification methods while still needing to be responsive to objective indicators of age.
The bill preempts State law, rule, or regulation only to the extent that such State law, rule, or regulation conflicts with a provision of this Act. It also explicitly states that nothing in the Act prohibits any State from enacting a law, rule, or regulation that provides greater protection to minors.
Section 9(d)
Why it matters:Preemption clauses are standard in federal legislation to clarify the relationship between federal and state law, but the specific nuance of allowing stronger state protections is noteworthy.
Case for: Supporters argue this provision ensures a baseline of federal protection while preserving states' abilities to innovate and provide even stronger safeguards for their residents, reflecting a 'race to the top' approach to child safety.
Case against: Some in the tech industry might argue that allowing states to enact stronger, potentially divergent, protections could lead to a patchwork of regulations across the country, increasing compliance complexity and costs for companies operating nationally.
Estimated impact: This provision allows for a dynamic regulatory environment where states can impose more stringent requirements, potentially leading to varied compliance landscapes for AI companies.