Sponsors (5)
The bill substantially strengthens worker protections, transparency, and enforcement for automated employment decision systems while imposing significant compliance, disclosure, and litigation costs and implementation challenges for employers, governments, and agencies — trading tighter safeguards and clearer rules for greater regulatory burden and potential privacy and operational friction.
Workers and job applicants (including tech workers, low-income individuals, people with disabilities, and racial/ethnic minorities) gain stronger, enforceable protections: required pre- and post-decision disclosures, the right to human review/appeal, opt-out from automated management, anti-retaliation protections, and access to damages and injunctive relief.
Covered individuals get expanded enforcement avenues and remedies: state attorneys general and privacy regulators can pursue violations, the Secretary of Labor gains investigative and enforcement tools (inspections, subpoenas, joint probes, criminal referrals), and court access is preserved (no arbitration/class-action waivers; waiver of sovereign immunity for federally-funded States/Tribes).
The bill creates clearer, more consistent definitions and a harmonization mandate (definitions of 'automated decision system,' 'covered individual,' and 'ADS outputs'), which reduces ambiguity about what tools are regulated and helps employers, developers, and governments understand obligations.
Employers (especially small businesses and government contractors), plus States and Tribes receiving federal funds, face substantial new compliance, reporting, inspection, and litigation costs (statutory damages, civil penalties, administrative burdens), increasing operational and fiscal burdens.
Broad statutory definitions and a relatively low employer threshold (11+ employees) may sweep in routine software and smaller employers, creating significant regulatory uncertainty and sudden applicability for organizations near the threshold.
Public release of machine-readable input data and mandated disclosures could expose proprietary algorithms or sensitive personal information, raising business confidentiality and applicant/employee privacy risks.
Based on analysis of 10 sections of legislative text.
Introduced December 3, 2025 by Suzanne Bonamici · Last progress December 3, 2025
Prohibits employers from relying solely on automated decision systems (ADS) — including AI tools — for hiring, firing, promotions, pay, scheduling, and other employment decisions unless the tools meet strict conditions: pre-deployment testing for accuracy and discrimination, independent annual testing with public results, clear disclosures to candidates and workers, meaningful human review, and a right to dispute and appeal. It creates a new Technology and Worker Protection Division in the Department of Labor to write rules, enforce the law, and advise on technology and worker protections. The measure also creates private enforcement rights, gives State attorneys general enforcement powers, makes many predispute arbitration clauses unenforceable for violations, and requires coordination with other federal agencies while preserving existing federal and state authorities.