Sponsors (7)
The bill substantially strengthens worker protections, transparency, and enforcement for workplace automated decision systems and clarifies regulatory coverage — but at the cost of significant compliance, privacy/trade-secret and litigation risks and potential agency strain that could burden employers (especially small ones), taxpayers, and slow deployment of some ADS.
Employees and job applicants (including people with disabilities and marginalized groups) gain stronger workplace protections: required notice, human review and opt-outs from automated management, annual bias testing and public results, appeal/dispute rights, and anti-retaliation safeguards.
Employers, public agencies, and developers get clearer, harmonized definitions and coordinated standards for 'automated decision systems' aligned with other federal statutes, reducing legal uncertainty about coverage and regulatory expectations.
Enforcement capacity is strengthened: the Secretary of Labor gains investigatory powers, state attorneys general and privacy regulators can bring parens patriae suits, and individuals have a private right to sue with access to damages and injunctive relief, increasing the chance of real remedies for violations.
Small businesses, public employers, and taxpayers will face substantial new compliance costs (pre-deployment validation, annual bias testing and public reporting, training, recordkeeping, investigations, and potential statutory damages) that may raise hiring costs or deter use of beneficial ADS.
Employers and public entities face increased litigation and duplicative enforcement risk from overlapping authorities (private suits, state AGs, Secretary investigations) and possible criminal referrals, raising legal exposure and defense costs.
Public disclosure of bias-testing results and detailed machine-readable post-decision records risks revealing proprietary model details or sensitive input data and may create privacy harms for workers and applicants.
Based on analysis of 10 sections of legislative text.
Bars sole reliance on automated decision systems in employment decisions and requires validation, disclosure, human oversight, appeals, and a new DOL enforcement unit.
Official title: To prohibit certain uses of automated decision systems by employers, and for other purposes.
Introduced December 3, 2025 by Suzanne Bonamici · Last progress December 3, 2025
Prohibits employers from relying solely on automated decision systems (ADS) for hiring, firing, promotion, discipline, or other workplace decisions and requires testing, disclosure, human oversight, appeals, recordkeeping, and training when ADS are used. Creates a new Technology and Worker Protection Division at the Department of Labor with rulemaking and enforcement authority, requires agency coordination, and preserves existing federal and state authorities. Imposes pre-deployment validation and annual independent bias testing of ADS, mandates prompt post-decision documentation and machine-readable inputs, gives workers an opt-out to be managed by a human, and creates private and agency enforcement mechanisms, anti-retaliation protections, and civil remedies for violations.