Findings and purposes

(a) Findings Congress finds the following: (1) Artificial intelligence systems are already, as of the date of enactment of this Act, widely used by workers, employers, and consumers across sectors of the United States economy. (2) The most immediate labor-market effects of artificial intelligence are currently occurring at the task, skill, and workflow level, rather than through the wholesale elimination of occupations. (3) Research shows that artificial intelligence is also improving workforce productivity by accelerating routine cognitive tasks, enabling workers to focus on higher-value functions, and contributing positively to aggregate economic growth, even as adoption and impacts vary by sector and over time. Artificial intelligence also has the potential to create new roles, consistent with previous patterns in which technological change has led to significant changes in the types of jobs people do over time. (4) Policymakers, workers, educators, and employers lack timely and standardized information about how artificial intelligence systems are being used and how such use affects productivity, skills, and workforce outcomes. (5) Aggregated, privacy-preserving transparency, including information voluntarily shared by a covered AI system provider and complementary data published by the Federal Government, can meaningfully improve workforce development, education policy, and economic planning without revealing proprietary information, trade secrets, individual-level data, or other information that would undermine individual privacy. (6) A Federal transparency framework that encourages participation and supports modernization of government data systems can establish a consistent national baseline, reduce fragmentation across States, and provide a level playing field among covered AI system providers. (b) Purposes The purposes of this Act are to— (1) establish a Federal framework for aggregated, de-identified transparency or data-sharing regarding use of artificial intelligence systems relevant to workforce impacts; (2) support evidence-based workforce, education, and economic policymaking through both voluntary participation by a covered AI system provider and improved Federal labor-market data; (3) protect individual privacy, confidential business information, and competition; and (4) promote public trust through consistent, responsible, and privacy-preserving data-sharing.