Collective Bargaining Agreements on AI at the Workplace


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About the Project

In late 2022, Artificial Intelligence (AI) made an explosive entrance onto the stage of public consciousness: with ChatGPT, a chat-based form of AI systems that became available for the average person’s use for the first time. The next year, Hollywood writers organised in the Writers Guild of America went on a 148 days-long strike. They fought – and won – not just more pay and job security, but also limits to the use of AI in the writing process.

However, these very public displays of the power and challenges of AI tend to conceal the fact that AI and algorithmic management systems  have proliferated across various industries for a number of years. While commonly associated with the platform or gig economies, demand for AI and algorithmic-management systems is booming amongst managers in ‘conventional’ firms. For workers and trade unions, then, their implementation at the workplace has raised many questions – from data protection and privacy to impacts on working conditions, such as monitoring of the workforce, bias in decision-making processes or the potential violation of human rights.

Over the last years, UNI Europa and the  FES Competence Centre on the Future of Work have been successfully cooperating to raise the awareness of workers and trade unions regarding the use of AI systems at the workplace. However, following the report on employee awareness about algorithmic management at work, we see that there is a need to provide concrete examples of how AI at work is addressed through collective agreements.

To understand the challenges that are emerging in relation to the increased use of AI at work, we initiated a new research project and conducted two studies to 1) identify frequently used AI systems in the European service sectors and 2) examine the current situation in collective bargaining regarding the use of AI-related tools by employers vis-à-vis workers. The clauses extracted from various Collective Bargaining Agreements (CBAs) have been gathered and will be accessible through a visually intuitive dashboard.

The aim of the project is to raise awareness of workers and trade unions regarding the use of AI systems at the workplace and to support this goal with concrete examples of how AI at work is addressed through collective agreements.

Researchers who contributed to the project

Steve Rolf

Steven Rolf is a political economist working on digital platforms, work and employment in the digital age. As a Research Fellow at the Digital Futures at Work Research Centre (Digit) at the University of Sussex, this work was partly supported by the UK Economic and Social Research Council (grant number ES/S012532/1), which is gratefully acknowledged.

Marta Kahancová and team

Marta Kahancová is the co-founder and managing director of the Central European Labour Studies Institute (CELSI) and an associate professor in public policy at Comenius University, Faculty of Social and Economic Sciences, Bratislava, Slovakia.
The Central European Labour Studies Institute (CELSI) is a non-profit research institute. It fosters multidisciplinary research on the functioning of labour markets and institutions, work and organisations, business and society, ethnicity and migration in the economic, social, and political life of modern societies. 

WageIndicator Foundation

WageIndicator Foundation is a global, independent, nonprofit organisation that collects, analyses and shares information on Minimum Wages, Cost of Living and Living Wages, Salaries and Wages, Labour Laws, Gig and Platform Work, and Collective Agreements across 206 countries worldwide. Their mission is to improve labour market transparency to ensure workers, employers, trade unions and other stakeholders can make informed decisions.

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Contact Persons

Oliver Philipp
Policy Officer

Email

Friedrich-Ebert-Stiftung
Future of Work

Cours Saint Michel 30e
1040 Brussels
Belgium

@FES_FoW

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