Sponsors (2)
The bill creates a national, privacy‑preserving framework to produce standardized, aggregated insights on how AI is changing jobs—helping workforce planning and research—while imposing compliance costs, leaving significant voluntary and exemption-driven gaps, and reducing some public oversight and enforcement leverage.
Students, early-career and incumbent workers, and employers gain better-targeted training and workforce planning because a national aggregated AI-use dataset reveals how AI is changing skills, tasks, and hiring trends.
Individual privacy and firms' trade secrets are protected because the law prohibits submitting personally identifiable data and excludes proprietary model details (weights, source code, training data) from required disclosures.
Researchers, policymakers, and employers benefit from a standardized, public, aggregated database and common taxonomies that improve comparability of AI-use and labor-market data for analysis and policy design.
Workers, small employers, and policymakers may get incomplete or biased insights because participation is largely voluntary, producing datasets skewed toward willing or large entities.
Small businesses, employers, and taxpayers face increased costs because collecting, aggregating, legal‑reviewing, and maintaining the required datasets creates administrative and compliance burdens and new government expenses.
Employees and some small or niche workforces face re‑identification and privacy risks because demographic and task-level aggregations (age ranges, occupation, geography) can still permit identification in small populations.
Based on analysis of 9 sections of legislative text.
Creates a voluntary, privacy-protected Department of Labor program to collect and publish aggregated data on workplace AI usage to inform workforce and education policy.
Official title: Provide for voluntary disclosure by developers and users of artificial intelligence regarding workforce data and for reporting by the Secretary of Labor regarding the workforce data, and for other purposes.
Introduced April 30, 2026 by Mark R. Warner · Last progress April 30, 2026
Creates a voluntary, privacy-protected federal program run by the Department of Labor to collect, standardize, and publish aggregated data about how AI systems are used for workplace tasks and how that use is changing over time. The law requires standards for de-identification and aggregation, exempts submitted data from FOIA, protects nonparticipation from adverse agency inference, and lets the Secretary seek injunctions for willful misrepresentation of submitted data. The goal is to give policymakers, educators, employers, and the public timely, comparable information about AI’s effects on tasks, skills, geographies, and early-career workers while protecting trade secrets, individual privacy, and contractual confidentiality.