Norms and Normative Expectations in Algorithmic Decision-Support Systems
Research question/goal:
This project examines the role of social norms in the use and acceptance of algorithmic decision support systems (ADSS) in the workplace. Our focus is on issues of fairness and authority that arise from using algorithms in decision-making processes, such as in personnel selection or wage determination. Given that these technologies are embedded in sociocultural contexts, we analyse the normative expectations of employees and employers. Using surveys and experiments, we explore how normative structures within organizations influence responses to and acceptance of ADSS and reactions to norm violations. By integrating insights from computer science and the social sciences, we aim to fill a gap in existing research and foster an interdisciplinary understanding of the societal impact and acceptance of AI-driven decision systems.
Current stage:
The project is currently in the stage of developing a conceptual paper that integrates classic sociological theories with individuals’ perceptions of automated decision-making. Furthermore, the project has begun developing a research design to measure personal moral and normative beliefs regarding automated decision-making in employeremployee relationships.