Algorithmic Transparency and Choice Act

Bill Number

H.R. 6253

Origin Chamber

House

Congress

119th Congress, Session 1

Policy Area

Commerce

Status

Introduced

Latest Action

2025-12-11: Forwarded by Subcommittee to Full Committee by Voice Vote.

Last Updated

2026-01-07T22:27:15Z

AI-Generated Summary

Purpose of the Legislation

The Algorithmic Transparency and Choice Act (H.R. 6253) aims to increase transparency and user control over how online platforms use automated systems to recommend content to minors (individuals under 18). It requires platforms to notify minors about these systems, explain how they work, and offer simpler alternatives, helping young users avoid potentially addictive or personalized content feeds without their full awareness.

Key Provisions

• Implementation Timeline: Requirements take effect one year after the bill becomes law.
• Notice Requirements for Platforms:
• Platforms must display a clear, prominent notice to minors the first time they encounter a personalized recommendation system (an automated tool that tailors content based on user data like browsing history).
• Terms and conditions must include an easy-to-understand explanation of:
• Key features, inputs, and settings that drive the recommendation system.
• How user-specific data (e.g., inferred interests or device activity) is collected or estimated.
• Options for users to opt out, adjust their profile, or influence recommendations.
• What the system prioritizes (e.g., time spent on the platform or engagement levels) and their relative importance.
• User Choice Options:
• Minors can easily switch between the personalized system and an "input-transparent algorithm" (a simpler automated system that only uses data the user directly provides, like search terms or saved preferences, and ignores inferred data like past browsing).
• Minors can limit the types or categories of recommended content.
• The input-transparent algorithm must be the default setting for minors.
• Enforcement:
• Violations are treated as unfair or deceptive practices under the Federal Trade Commission Act, enforced by the Federal Trade Commission (FTC) with existing powers, including penalties.
• The FTC's authority under other laws remains unchanged.
• Protections and Limits:
• Platforms do not have to reveal trade secrets, confidential business info, or privileged details.
• The law does not prevent platforms from allowing users to block or restrict others (e.g., for safety).
• Preemption of State Laws: States and local governments cannot create or enforce their own rules that overlap with these federal requirements.
• Definitions (key terms explained simply):
• Covered Online Platform: Public websites or apps (e.g., social networks or video-sharing services) that host user-generated content like posts, videos, or images and use personalized recommendations. Excludes email or internet service providers.
• Covered User: A minor who creates an account or profile.
• Personalized Recommendation System: An automated tool that selects or ranks content for a user based partly on data not directly given by the user (e.g., inferred from device history). Excludes basic age checks for content restrictions or anti-spam/fraud tools.
• User-Specific Data: Info unique to a person or device, like location or past interactions, not general to everyone.

Significant Changes to Existing Law

This bill introduces new federal mandates for transparency in algorithmic content recommendations, specifically targeting minors— an area not directly addressed in current U.S. laws like the Children's Online Privacy Protection Act (which focuses on data collection from kids under 13). It expands FTC oversight to treat non-compliance as deceptive practices, without altering broader platform immunities under Section 230 of the Communications Decency Act (which protects platforms from liability for user content).

Potential Impacts

• On Government Agencies: The FTC gains a clear enforcement role, potentially increasing its workload and budget needs for monitoring compliance, investigations, and penalties against non-compliant platforms.
• On Citizens: Minors and their guardians gain more control and awareness, reducing exposure to manipulative algorithms that might encourage excessive use or harmful content. This could promote healthier online experiences but may limit access to tailored educational or social features.
• On Online Platforms: Companies like social media providers face compliance costs (e.g., updating interfaces, defaults, and disclosures), possible redesigns of algorithms, and legal risks from FTC actions. Smaller platforms might struggle more with implementation.
• On International Relations: No direct impacts, as the law applies only to U.S.-based platforms serving U.S. users, though global companies may adapt worldwide to simplify operations.

Main Stakeholders Affected

• Online Platforms: Providers of social networks, video-sharing sites, and similar services that use recommendation algorithms.
• Minors and Families: Users under 18 and their parents or guardians, who benefit from protections but may need to navigate new settings.
• Federal Trade Commission (FTC): Primary enforcer, responsible for oversight and penalties.
• Tech Industry and Developers: Those building or maintaining algorithms, affected by disclosure rules without revealing proprietary details.

Notable Legal, Constitutional, or Political Implications

• Legal Implications: Strengthens FTC authority by integrating these rules into its existing framework for unfair practices, potentially leading to civil penalties (up to $50,120 per violation under current FTC guidelines). It preempts conflicting state laws, centralizing regulation at the federal level to avoid a patchwork of rules.
• Constitutional Implications: Could raise First Amendment questions if disclosures or defaults are seen as compelling speech or restricting platforms' editorial choices, though the bill's focus on transparency (not content censorship) likely aligns with precedents allowing consumer protection mandates. No direct privacy rights changes, but it indirectly supports minors' data autonomy.
• Political Implications: Reflects growing bipartisan concern over tech's influence on youth mental health and addiction, positioning the bill as a targeted reform without broad overhauls like banning algorithms. It balances industry innovation (by protecting trade secrets) with public protection, potentially setting a precedent for future digital rights legislation.

This summary was generated by AI and may contain inaccuracies. Refer to the official source document for the authoritative text.

Sponsor

Rep. Cammack, Kat [R-FL-3]

Recent Actions

• 2025-12-11: Forwarded by Subcommittee to Full Committee by Voice Vote.
• 2025-12-11: Subcommittee Consideration and Mark-up Session Held
• 2025-11-21: Referred to the Subcommittee on Commerce, Manufacturing, and Trade.
• 2025-11-21: Referred to the House Committee on Energy and Commerce.
• 2025-11-21: Introduced in House
• 2025-11-21: Introduced in House

Bill Versions

• Algorithmic Transparency and Choice Act — issued 2025-11-21 — PDF (11 pages)