Sponsors (30)
Introduced September 19, 2025 by Yvette Diane Clarke · Last progress September 19, 2025
This bill strengthens consumer privacy, transparency, bias mitigation, and regulator capacity for high‑stakes algorithms but does so by imposing significant compliance, disclosure, and administrative costs and adding legal complexity that may burden small firms, risk proprietary exposure, and slow some AI deployment.
Federal, state, and local regulators (and the FTC) gain coordinated tools, standardized reporting, interagency data‑sharing, technical staff, and a mandatory review cycle to better detect, investigate, and enforce against harmful covered algorithms.
Consumers gain clearer privacy protections, notice/opt-out options, remediation paths, and stronger FTC enforcement remedies for harms from automated and algorithmic decisions.
People from protected or vulnerable groups (race, gender, disability, socioeconomic status) and those subject to high‑stakes decisions get stronger anti‑bias safeguards through mandatory impact assessments, differential‑performance testing, stakeholder consultation, and state enforcement tools.
Companies that deploy covered algorithms face substantial new compliance costs (pre/post impact assessments, reporting, retention, consultations, testing and training), which disproportionately burden small businesses and may be passed to consumers via higher prices or reduced services.
Required reporting, public repository disclosures, and interagency sharing risk exposing proprietary models, data sources, or business-sensitive information, harming competitiveness and creating confidentiality concerns for firms.
Key terms and exemptions are ambiguous and many obligations depend on agency discretion, creating legal uncertainty and the potential for shifting obligations or slow rulemaking as agencies consult and iterate.
Based on analysis of 11 sections of legislative text.
Requires covered entities that deploy defined algorithms to perform and retain detailed impact assessments, submit annual machine-readable summary reports to the FTC, and follow FTC rules and oversight.
Requires companies that deploy defined "covered algorithms" to perform detailed pre- and post-deployment impact assessments, retain assessment records, and submit machine-readable summary reports to the Federal Trade Commission. Creates FTC rulemaking authority and a new FTC Bureau of Technology, public reporting and a searchable repository of limited algorithm information, technical guidance, coordination with federal standards bodies, and civil and state-enforcement mechanisms.