The bill increases victims' ability to hold platforms accountable and pushes companies to improve algorithm safety, but it raises litigation and compliance costs that may be passed to users or prompt platforms to restrict features, and it leaves some mid-size services and users without protections while creating legal uncertainty.
Users (including minors) can hold platforms financially liable and recover damages when recommendation algorithms foreseeably cause bodily injury or death.
Users (especially children and young adults) are likely to benefit from platforms being incentivized to test and improve algorithm safety, which could reduce harmful recommendations and related injuries.
Users and platforms retain First Amendment protections in enforcement, reducing the risk that enforcement will target protected speech based on viewpoint.
For-profit social media platforms face greater liability exposure (including punitive damages) and the invalidation of predispute arbitration/class-action waivers, increasing litigation and defense costs that may be passed on to advertisers, users, or lead platforms to reduce free services/features.
Platforms may restrict or remove algorithmic features, limit personalized recommendations, or reduce discovery/functionality to lower legal risk, degrading user experience — especially for younger users who rely on recommendations.
Ambiguities and partial/incomplete definitions and exclusions in the law are likely to produce litigation and regulatory uncertainty about which services and algorithms are covered.
Based on analysis of 2 sections of legislative text.
Creates a federal liability rule that removes Section 230 immunity and allows suits against large for‑profit social media platforms whose recommendation algorithms, lacking reasonable care, foreseeably cause bodily injury or death.
Introduced November 21, 2025 by Mike Kennedy · Last progress November 21, 2025
Amends federal law governing online services to create a new civil-liability rule for large for‑profit social media platforms that use recommendation algorithms. If a platform’s recommendation-based algorithm, through failure to exercise “reasonable care” in design, testing, deployment, operation, or maintenance, foreseeably causes bodily injury or death (to users or caused by users), the platform can be sued for compensatory and punitive damages and loses Section 230(c)(1) immunity for those claims. The change narrows which services are covered, excludes smaller platforms (fewer than 1,000,000 registered users) and several categories of private messaging/communication tools, preserves First Amendment limits on enforcement, allows states to enforce equally or more protective laws, and invalidates predispute arbitration clauses and class‑action waivers for these claims. The text also makes technical conforming edits to several statutes.