Sponsors (5)
Introduced December 3, 2025 by Suzanne Bonamici · Last progress December 3, 2025
The bill substantially strengthens worker protections, transparency, and enforcement around employer use of automated decision systems — improving fairness and oversight — but it does so at the cost of higher compliance burdens, increased litigation risk, possible privacy/trade-secret exposures, and added strain on employers and regulators.
Workers and job applicants (including people with disabilities and members of racial/ethnic minorities) gain required notice, the right to human review/appeal, and an opt-out from automated management when an employer uses an automated decision system affecting hiring, promotion, discipline, or supervision.
Covered individuals obtain stronger enforcement mechanisms: a private right to sue with damages and fees, expanded investigatory powers for the Secretary of Labor, and standing for state attorneys general, increasing the likelihood of remedy and enforcement for violations.
Clear, harmonized statutory definitions (e.g., 'automated decision system', 'covered individual', 'employ') reduce legal uncertainty about which tools and people are covered, aiding employers, public agencies, and regulators in compliance planning.
Employers (especially small businesses and public agencies) face substantially higher compliance costs — testing, disclosures, recordkeeping, training, audits, and potential pay/administrative changes — which could raise hiring costs or deter ADS use.
Expanded private suits, state AG authority, and parallel federal enforcement create substantial litigation risk and potential duplicative lawsuits for employers, increasing legal costs and uncertainty.
Public release of annual bias tests and detailed post-decision documentation (including machine-readable inputs) risks exposing trade secrets and sensitive personal data, deterring developers and raising privacy harms for affected individuals.
Based on analysis of 10 sections of legislative text.
Bans sole reliance on automated decision systems for employment decisions and requires testing, disclosure, human oversight, opt-outs, audits, and enforcement through a new DOL division.
Prohibits employers from making hiring, firing, promotion, pay, or other employment decisions based solely on automated decision systems (ADS). It requires testing and validation for discriminatory impact, disclosure to workers and candidates, human meaningful oversight, prompt documentation of ADS-driven actions, accessible appeal processes, operator training, and an opt-out so individuals can be managed by a human. The bill creates a Technology and Worker Protection Division in the Department of Labor with rulemaking and enforcement authority, investigatory powers, a private right of action, and coordination duties with other federal agencies.