Our new study published by FES Future of Work in cooperation with UNI Europa, looks at collective bargaining as one way to close the gap between fast spreading technology and regulation.

Who sets the rules when algorithms help manage people at work?

Around 80% of managers in Europe already use algorithmic management tools. These tools can help companies organise work and raise productivity.

They also raise concerns, from stress caused by constant monitoring and reduced autonomy to questions of privacy, fairness and workers’ collective rights. The technology is spreading faster than regulation, and the EU AI Act addresses only part of these risks.

Our new study “Artificial Intelligence, Algorithmic Management and Collective Bargaining in European Services: Fast track or slow lane?”, published by FES Future of Work in cooperation with UNI Europa, looks at collective bargaining as one way to close this gap.

It asks whether more unions are securing agreements on AI, which issues these agreements cover and where the main gaps remain.

The study also points to an opportunity. Evidence suggests that consulting workers, managers and works councils while AI tools are being designed can improve job quality without a loss in productivity.

Authors of the study are CELSI researchers Marta Kahancová, Daryn Zholdasbay and Tomáš Šarközi, with researchers from WageIndicator Foundation Fiona Dragstra, Gabriella Medas and Intan Citra Phonskaningtyas.

🔗 Download the full study at: https://collections.fes.de/publikationen/id/2185020

🔗 Find more about the project and the database of over 100 AI clauses at: https://futureofwork.fes.de/collective-bargaining-on-ai.html

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