Multidisciplinary perspectives on Human-{AI} team trust

Artificial intelligence is no longer confined to isolated tools or stand-alone systems; it increasingly functions as an active participant in collaborative settings (Seeber et al., 2020). From healthcare and business decision-making to defense operations and everyday workplace environments, humans now share tasks, responsibilities, and risks with AI agents. This shift toward human-AI teams (HATs) offers new opportunities for efficiency, creativity, and problem-solving, but it also raises challenges. Central among these is the question of trust: how, when, and under what conditions humans choose to rely on artificial teammates, and how artificial systems can be designed to act in ways that are worthy of such reliance (Rahwan et al., 2019).

Trust has long been recognized as a critical enabler of cooperation in human teams (Mayer et al., 1995). It shapes coordination, reduces uncertainty, and provides the basis for …