Partner or Rival? How Human-Artificial Intelligence Conflict Shapes Artificial Intelligence Aversion

Integrating artificial intelligence (AI) into organizations introduces challenges, particularly when AI-generated recommendations conflict with human judgment. Drawing on the theory of cooperation and competition and cognitive dissonance theory, we examine how human-AI conflict (low vs. high) and human-AI goal interdependence (cooperation vs. competition) shape cognitive dissonance and AI aversion across critical and non-critical decisions. Using an experiment with 432 employees, results show that higher human-AI conflict increases cognitive dissonance, which in turn reduces epistemic and social motivation and heightens AI aversion. The impact of human-AI conflict on cognitive dissonance intensifies when AI is perceived as a competitor and when decisions are critical. Moreover, in critical decisions, perceiving AI as a competitor amplifies the dissonance arising from human-AI conflict, whereas in non-critical decisions, cooperative and competitive perceptions of AI produce similar dissonance levels. These findings underscore the importance of aligning AI deployment with users’ relational perceptions and decision criticality.

• 저널Journal of Management Information Systems · 43(2) · 368–401
• 토픽Ethics and Social Impacts of AI · Safety Research
• DOI10.1080/07421222.2026.2647459
• 저자Kimia Ansari, Maryam Ghasemaghaei