Perceived Fairness of Human Managers Compared with Artificial Intelligence in Employee Performance Evaluation

Human managers are increasingly challenged by artificial intelligence (AI) technologies in performing managerial functions. We undertook a field experiment that used AI vis-à-vis human managers to perform structured, data-intensive evaluations of employee performance. We generate two sets of insights. First, employees considered AI to be both fairer and more accurate in evaluating their performance than the average human manager. Second, to catch up with AI, human managers' fairness perceived by employees played a first-order role by (a) helping human managers, to a greater extent than those managers' evaluation accuracy, to close the performance gap of the employees evaluated by them compared with that of those evaluated by AI, and (b) constraining the effect of human managers' perceived accuracy of evaluations on employees' performance. Thus, facing the competition from AI, it is all the more important for human managers to treat employees fairly and build positive interpersonal relationships with employees.

• 저널Journal of Management Information Systems · 40(4) · 1039–1070
• 토픽Ethics and Social Impacts of AI · Safety Research
• DOI10.1080/07421222.2023.2267316
• 저자Nan Jia, Xueming Luo, Chengcheng Liao, Ziyao Huang