Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/271012 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
Working Paper Forschungsförderung No. 278
Verlag: 
Hans-Böckler-Stiftung, Düsseldorf
Zusammenfassung: 
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.
Schlagwörter: 
Artificial Intelligence
EU regulation
workplace
democracy
employee representatives
Creative-Commons-Lizenz: 
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Dokumentart: 
Working Paper

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