Employees adhere more to unethical instructions from human than AI supervisors: Complementing experimental evidence with machine learning
Authors: L Lanz, R Briker, FH Gerpott
Published: 2024
Publication: Journal of Business Ethics, 2024 - Springer
Employees are less likely to adhere to unethical instructions from AI supervisors compared to human supervisors, partly due to perceived differences in 'mind' and individual characteristics like compliance tendency and age.
Methods: The study employed four experiments using causal forest and transformer-based machine learning algorithms, as well as pre-registered experimental manipulations to evaluate employee behavior towards unethical instructions from AI and human supervisors.
Key Findings: Adherence to unethical instructions from AI versus human supervisors; mediating role of perceived mind and moderating factors like compliance tendency and age.
Limitations: Potential generalizability issues due to experimental settings; further exploration needed for real-world settings and additional contextual factors.
Institution: University of Lausanne, University of Neuchâtel, University of Bern
Research Area: AI Ethics, Organizational Behavior,Supervisory Influence in the Workplace
Discipline: Business Ethics, Organizational Behavior, Artificial Intelligence Ethics
Sample Size: 1701 participants
Citations: 72
DOI: https://doi.org/10.1007/s10551-023-05393-1