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.

中文翻译：

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人工智能团队：重新定义数字时代的协作


将人工智能 (AI) 融入人类团队，形成人类人工智能团队 (HAT)，是一个快速发展的领域。本概述探讨了团队配置和动态的复杂性、对 AI 队友的信任以及 HAT 内的共享认知。添加人工智能队友通常会降低协调、沟通和信任。此外，由于最初高估了人工智能的能力，人们对人工智能的信任往往会随着时间的推移而下降，从而损害团队合作。尽管人工智能有潜力提高国际象棋和医学等领域的表现，但由于团队认知不佳和相互理解不足，HAT 经常表现不佳。未来的研究必须通过计算机科学和心理学之间的跨学科合作来解决这些问题，并推进强大的理论框架，以实现人类与人工智能团队的全部潜力。