Sponsors (5)
Introduced December 3, 2025 by Suzanne Bonamici · Last progress December 3, 2025
The bill strengthens worker protections, transparency, and enforcement around workplace automated decision systems at the cost of substantial new compliance, litigation, and administrative burdens for employers and public agencies, with risks to proprietary information and potential politicization of the new federal Division.
Workers and job applicants (including low-income individuals, tech workers, and union members) gain new procedural rights and remedies: human review and opt-outs from automated management, anti-retaliation protections, a private right of action with FLSA-like investigation parity, prohibition on forced predispute arbitration, and state enforcement backstops.
Covered individuals benefit from stronger transparency and safety controls for workplace automated decision systems: timely plain-language explanations, machine-readable input data, pre-deployment validation against NIST AI RMF, annual independent bias testing and public disclosure, and required user training.
Employers, federal, state, and tribal authorities get clearer definitions and a more consistent framework for what counts as an automated decision system and who is covered, reducing regulatory uncertainty about scope and jurisdiction.
Employers—including many small businesses—and public agencies face substantial new compliance costs and operational burdens from testing, disclosures, recordkeeping, human oversight, training, and parallel agency rulemaking, which could reduce hiring or shift resources away from services.
The Act substantially increases litigation and enforcement risk for employers by creating private suits, potential parallel state and federal actions, criminal referral possibilities, and ambiguous interactions with existing statutes, likely raising legal costs and uncertainty.
Public disclosure requirements for bias test results and ADS details risk exposing proprietary models and trade secrets, which could discourage employers and vendors from adopting advanced tools or investing in innovation.
Based on analysis of 10 sections of legislative text.
Bans exclusive use of automated decision systems for employment decisions and requires testing, transparency, human oversight, appeals, and Labor Department enforcement.
Prohibits employers from relying solely on automated decision systems (ADS) to make hiring, firing, promotion, pay, and other employment-related decisions and requires testing, public disclosures, human oversight, accessible appeals, and an individual opt-out to human management. It defines covered systems and employers, requires pre-deployment and annual independent testing for discriminatory impact and compliance, and mandates timely notice to affected workers and job applicants. Creates a new Technology and Worker Protection Division within the Department of Labor with an appointed Administrator, advisory boards, and rulemaking and enforcement authority; gives the Secretary of Labor investigation and enforcement powers (including a private right of action), requires interagency coordination, and preserves other federal and state authorities.