Hagemann Vera, Rieth Michèle, Suresh Amrita, Kirchner Frank
Business Psychology and Human Resources, Faculty of Business Studies and Economics, University of Bremen, Bremen, Germany.
Robotics Research Group, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.
Front Artif Intell. 2023 Sep 27;6:1252897. doi: 10.3389/frai.2023.1252897. eCollection 2023.
As part of the Special Issue topic "Human-Centered AI at Work: Common Ground in Theories and Methods," we present a perspective article that looks at human-AI teamwork from a team-centered AI perspective, i. e., we highlight important design aspects that the technology needs to fulfill in order to be accepted by humans and to be fully utilized in the role of a team member in teamwork. Drawing from the model of an idealized teamwork process, we discuss the teamwork requirements for successful human-AI teaming in interdependent and complex work domains, including e.g., responsiveness, situation awareness, and flexible decision-making. We emphasize the need for team-centered AI that aligns goals, communication, and decision making with humans, and outline the requirements for such team-centered AI from a technical perspective, such as cognitive competence, reinforcement learning, and semantic communication. In doing so, we highlight the challenges and open questions associated with its implementation that need to be solved in order to enable effective human-AI teaming.
作为“工作中的以人为本的人工智能：理论与方法的共同基础”特刊主题的一部分，我们发表了一篇观点文章，该文章从以团队为中心的人工智能视角审视人机协作，也就是说，我们强调了技术为被人类接受并在团队协作中充分发挥团队成员作用而需要满足的重要设计方面。借鉴理想化团队协作过程的模型，我们讨论了在相互依存且复杂的工作领域中成功实现人机协作的团队协作要求，包括例如响应能力、态势感知和灵活决策。我们强调需要以团队为中心的人工智能，使目标、沟通和决策与人类保持一致，并从技术角度概述这种以团队为中心的人工智能的要求，如认知能力、强化学习和语义通信。在此过程中，我们突出了与实施相关的挑战和未解决的问题，这些问题需要得到解决才能实现有效的人机协作。
