How perceived lack of benevolence harms trust of artificial intelligence management

  • 0Department of Management, HKUST Business School, Hong Kong University of Science and Technology.

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Summary

This summary is machine-generated.

Employees trust artificial intelligence (AI) management less than human management because AI is seen as less benevolent. This effect is stronger in jobs requiring high empathy, impacting AI adoption.

Area Of Science

  • Organizational Behavior
  • Human-Computer Interaction
  • Artificial Intelligence Ethics

Background

  • Organizations increasingly use artificial intelligence (AI) for management functions.
  • Understanding employee trust in AI management is crucial for successful implementation.
  • Existing research highlights the importance of leader benevolence for trust.

Purpose Of The Study

  • To investigate factors influencing employee trust in AI management.
  • To compare perceptions of AI management versus human management regarding benevolence, ability, and integrity.
  • To examine the role of empathy demand in employee preferences for AI or human management.

Main Methods

  • A preregistered field study surveyed 400 delivery riders in Mainland China.
  • Three preregistered experiments involved a total of 2,350 participants.
  • Statistical analyses controlled for perceived AI ability and integrity.

Main Results

  • AI management was perceived as less benevolent than human management.
  • Lower perceived benevolence negatively impacted trust in AI management.
  • Employees preferred human management in high empathy demand contexts.

Conclusions

  • Perceived benevolence is a key factor in employee trust towards AI management.
  • Empathy demand significantly influences preferences between human and AI managers.
  • Findings offer theoretical and practical insights for AI management adoption.

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