Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/271012 
Year of Publication: 
2023
Series/Report no.: 
Working Paper Forschungsförderung No. 278
Publisher: 
Hans-Böckler-Stiftung, Düsseldorf
Abstract: 
Automated decision-making (ADM) systems in the workplace aggravate the power imbalance between employees and employers by making potentially crucial decisions about employees. Current approaches focus on risk mitigation to safeguard employee interests. While limiting risks remains important, employee representatives should be able to include their interests in the decision-making of ADM systems. This paper introduces the concept of the Machine Learning Pipeline to demonstrate how these interests can be implemented in practice and point to necessary structural transformations.
Subjects: 
Artificial Intelligence
EU regulation
workplace
democracy
employee representatives
Creative Commons License: 
cc-by Logo
Document Type: 
Working Paper

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