Responsible algorithmic decision-making in the workplace

Goal of the research project:

Algorithmic decision-making (or “ADM”) already has a significant impact on how our modern workplace is organized, whether it be through the selection of new hires, managing employees in their daily business, or assisting human decision-makers in the context of complex problems.

Despite having immense promise for businesses and governmental organizations, ADM also raises serious concerns as it often produces consequences that are detrimental to workers, resulting in unfair treatment, a loss of autonomy, exclusion, or even increasing precarity. Therefore, we seek to contribute to answering the following research question: How should work contexts shaped by ADM be designed to promote responsible treatment of workers? What technical, organizational and regulatory framework conditions should be established in such contexts?

Our exploration of responsible ADM in the workplace of the future focuses on three aspects:

  • Analysing how ADM affects work procedures and work contents as well as workers’ self-determination and quality of life
  • Investigating human-machine work configurations and the responsible design of these configurations for future workplaces
  • Assessing organizational, legal and regulatory framework conditions for the responsible design of the future workplace

Principal Investigators

  • Prof. Dr. Alexander Benlian, Technische Universität Darmstadt | spokesperson
  • Prof. Dr. Matthias Söllner, Universität Kassel | deputy
  • Dr. Ul­rich Bret­schnei­der, Universität Kassel
  • Prof. Dr. Lucie Flek, Philipps-Universität Marburg
  • Prof. Dr. Iryna Gurevych, Technische Universität Darmstadt
  • Prof. Dr. Sandra Ohly, Universität Kassel | more information»
  • Prof. Dr. Lena Rudkowski, Justus-Liebig-Universität Gießen
  • Prof. Dr. Bernd Skiera, Goethe-Universität Frankfurt a. M.
  • Dr. Gerhard Schreiber, Technische Universität Darmstadt
  • Prof. Dr. Domenik H. Wendt, LL.M., Frankfurt University of Applied Sciences

Key Data:


Project duration: Continuously, starting 5 December 2022

Funder: Centre Responsible Digitality