The European Economic and Social Committee (EESC) has issued a clear mandate: artificial intelligence should strengthen workers' rights, not undermine them, and the only way to achieve this is by giving workers and their representatives a genuine say in how AI systems are designed and deployed in the workplace. In a March 2026 opinion on quality in employment and working conditions, the EESC outlined a roadmap for ensuring that AI becomes a tool for safer, fairer work across Europe, with social dialogue positioned as the central mechanism for balancing innovation with worker protection. What Happens When Workers Aren't Involved in AI Decisions? The risks are substantial. Without proper safeguards and worker input, AI systems can intensify workloads, reduce autonomy, and create new forms of workplace stress linked to constant monitoring or opaque automated decisions. The EESC warns that these risks fall squarely within employers' legal duties under EU occupational safety and health legislation and must be addressed systematically. The committee emphasizes that protections must include gender-sensitive approaches and safeguards against all forms of harassment, including digital harassment. One of the most troubling concerns is algorithmic bias. Biased or discriminatory algorithms can entrench existing inequalities in hiring, promotion, and performance evaluation. However, the EESC also notes that well-designed AI systems can actually help identify and reduce discrimination that already exists in workplaces, provided they are transparent and subject to worker scrutiny. "We need transparent AI, responsible data use and worker involvement to address risks like reduced autonomy," stated Nicoletta Merlo, rapporteur for the opinion. "Social dialogue is key to balancing innovation and workers' rights." Nicoletta Merlo, Rapporteur, European Economic and Social Committee How to Build Worker-Centered AI Governance in Your Organization - Establish Early Involvement: Involve workers and their representatives from the earliest stages of AI system design and deployment, not after decisions have been made. This leads to better outcomes, smoother implementation, and broader acceptance of new tools. - Create Transparency Requirements: Ensure AI systems that influence work decisions are transparent and explainable. Workers have the right to understand how algorithms affect their careers and to challenge those decisions when necessary. - Set Strict Data Limits: Implement proportionate monitoring practices that respect worker dignity. Restrict emotional tracking, biometric surveillance, and the use of data for unintended purposes, and communicate clearly about what data is collected and why. - Develop Reskilling Programs: Use AI-driven labor market intelligence to understand future skill needs and invest in lifelong learning and digital literacy training so workers can navigate technological change. The EESC's vision goes beyond simply preventing harm. The committee argues that AI can transform working life for the better when developed with people's rights at the center. From preventing workplace accidents to reducing repetitive or hazardous tasks, AI offers genuine possibilities to protect workers' health and enhance day-to-day conditions. Well-designed systems can help companies and workers organize their time more effectively, opening doors to better work-life balance, more flexibility, and smoother planning. Across Europe, examples already exist where unions, employers, and workers negotiate how technology should be introduced, how data can be used, and how rights can be protected. These collaborative approaches help make digital innovation fair and sustainable, demonstrating that social dialogue is not just a nice-to-have but a practical mechanism for successful AI adoption. Why Small Companies Need Special Support to Adopt AI Fairly? Small and micro-enterprises form the backbone of the EU economy but often face greater barriers to adopting AI responsibly. The EESC calls for supportive measures to help them navigate complex technologies without increasing inequality between large and small companies. Additionally, the committee highlights the importance of addressing gender, generational, and disability dimensions, ensuring that AI contributes to inclusion rather than widening existing divides in the workforce. The broader message from the EESC is that Europe's digital transition should strengthen workers' rights, boost economic resilience, and improve job quality. AI can unlock major gains in productivity and wellbeing, but only if implementation is transparent, inclusive, and firmly grounded in social dialogue. This approach positions workers not as passive recipients of technological change but as active participants in shaping how AI transforms their professional lives.
