Governing the intelligent factory – Transforming labor law through an open-standards framework for AI governance in industry 4.0

Over the past decade, technologies like artificial intelligence (AI) and cloud computing have rapidly transformed manufacturing systems, introducing unprecedented levels of autonomy, precision, and scalability. While these technologies enhance productivity, they also challenge traditional labor relations and regulatory frameworks. Existing laws including the National Labor Relations Act (NLRA) and Equal Employment Opportunity Act (EEOA) were not designed for AI-driven workplaces. Despite growing industrial adoption, limited research examines their implications for human behavior, labor relations, and union law. This manuscript addresses these gaps and proposes an open governance framework based on Model Context Protocol (MCP) that can enable transparent communication between industrial AI systems and regulatory bodies to strengthen compliance, accountability, and worker protection in the evolving Industry 4.0 landscape.