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Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process

Author

Listed:
  • Luyuan Jiang
  • Xin Qin
  • Kai Chi Yam
  • Xiaowei Dong
  • Wanqi Liao
  • Chen Chen

Abstract

Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped organizational decision-making processes. Particularly, AI decision making has become involved in almost every aspect of human resource management, including recruiting, selecting, motivating, and retaining employees. However, existing research only considers single-stage decision-making processes and overlooks more common multistage decision-making processes. Drawing upon person-environment fit theory and the algorithm reductionism perceptive, we explore how and when the order of decision makers (i.e., AI-human order vs. human-AI order) affects procedural justice in a multistage decision-making process involving AI and humans. We propose and found that individuals perceived a decision-making process arranged in human-AI order as having less AI ability-power fit (i.e., the fit between the abilities of AI and the power it is granted) than when the process was arranged in AI-human order, which led to less procedural justice. Furthermore, perceived AI ability buffered the indirect effect of the order of decision makers (i.e., AI-human order vs. human-AI order) on procedural justice via AI ability-power fit. Together, our findings suggest that the position of AI in collaborations with humans has profound impacts on individuals’ justice perceptions regarding their decision making.

Suggested Citation

  • Luyuan Jiang & Xin Qin & Kai Chi Yam & Xiaowei Dong & Wanqi Liao & Chen Chen, 2023. "Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-21, July.
    • Handle: RePEc:plo:pone00:0284840
    DOI: 10.1371/journal.pone.0284840
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