AI-teaming: Redefining collaboration in the digital era.

Journal: Current opinion in psychology
Published Date:

Abstract

Integrating artificial intelligence (AI) into human teams, forming human-AI teams (HATs), is a rapidly evolving field. This overview examines the complexities of team constellations and dynamics, trust in AI teammates, and shared cognition within HATs. Adding an AI teammate often reduces coordination, communication, and trust. Further, trust in AI tends to decline over time due to initial overestimation of capabilities, impairing teamwork. Despite AI's potential to enhance performance in contexts like chess and medicine, HATs frequently underperform due to poor team cognition and inadequate mutual understanding. Future research must address these issues with interdisciplinary collaboration between computer science and psychology and advance robust theoretical frameworks to realize the full potential of human-AI teaming.

Authors

  • Jan B Schmutz
    Department of Psychology, University of Zurich, Switzerland. Electronic address: jan.schmutz@psychologie.uzh.ch.
  • Neal Outland
    Department of Psychology, University of Georgia, United States.
  • Sophie Kerstan
    Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
  • Eleni Georganta
    Faculty of Social and Behavioural Sciences, University of Amsterdam, the Netherlands.
  • Anna-Sophie Ulfert
    Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands.