Worker Groups Urge Congress to Regulate AI

A coalition of 40 organizations led by the Economic Policy Institute, We Build Progress, the AFL-CIO Tech Institute, and Workshop delivered a letter to members of Congress on April 28, 2026, calling for federal AI legislation that centers worker protections, according to the letter published by EPI. The letter states, "AI adoption is moving forward at breakneck speed, and America's workers cannot afford to wait," and warns that employer integration of AI "may jeopardize workers' rights, put workers at risk of discrimination, violate privacy rights, and dramatically impact the economic stability of working families," language reproduced in the EPI post and summarized by HR Dive.

The letter notes that "nearly two years have passed since the Bipartisan Senate AI Working Group released its roadmap for AI policy," and that Congress has not yet considered comprehensive legislation, per the text on EPI. The EPI letter also criticizes the White House for proposing a national AI framework and for an Executive Order issued in December that the signatories say would preempt state efforts; those assertions appear in the EPI publication and are quoted in HR Dive.

Industry-pattern observations: labor and advocacy groups are focusing on core technical governance issues that affect workplace systems: transparency of automated decision-making, auditability of algorithmic tools, bias and disparate impact testing, and data-collection practices tied to surveillance. Organizations that advocate for workers typically emphasize requirements for meaningful notice, access to explanations of automated decisions, and collective-bargaining mechanisms to influence deployment choices. These are recurring technical-policy asks across published union and think-tank frameworks, including the AFL-CIO "Artificial Intelligence: Principles to Protect Workers" report (October 15, 2025).

Industry-pattern observations: the letter intersects two ongoing policy threads: (1) congressional efforts following the Bipartisan Senate AI Working Group roadmap, and (2) executive-branch guidance that seeks to harmonize or preempt state rules. FedScoop reporting highlights bipartisan congressional interest in worker-centric AI principles, with lawmakers such as Sen. Mark Kelly and Rep. Brian Fitzpatrick urging the administration to adopt nonpartisan, pro-worker approaches. The EPI letter frames the White House approach as limiting state authority, an argument reflected directly in the letter's text.

Editorial analysis: for practitioners, the coalition's demands amplify the political momentum behind regulatory requirements that affect model governance and operational controls inside workplaces. If lawmakers adopt provisions similar to those the signatories request-strong notice and transparency, anti-discrimination audits, limits on surveillance, and enforceable worker input mechanisms-data teams and platform operators will face clearer compliance obligations and potentially new auditing and documentation costs. Observers should treat this letter as part of a broader push to embed workplace-specific mandates into any federal AI statute rather than as an isolated advocacy event.

track three near-term indicators. First, whether the House Democratic Commission on AI and the Innovation Economy incorporates worker-protection recommendations from labor experts, as requested in the EPI letter. Second, whether congressional text emerging from the Bipartisan Senate AI Working Group or House committees includes enforceable workplace provisions (notice, audit requirements, anti-surveillance clauses). Third, whether the White House proceeds with preemption language in its national AI framework or adjusts its recommendation to rely on existing agencies and industry standards, an approach described in HR Dive coverage.

Editorial analysis: the EPI-led coalition's letter consolidates organized labor and policy-reform pressure for worker-centered AI rules. Practitioners building workplace AI should follow legislative drafts and committee activity closely, because enacted worker protections would translate into concrete compliance and governance work for data science, MLOps, and HR-technology teams.