团队合作
背景(考古学)
知识管理
意识
意向性
心理学
社会学
工程伦理学
认识论
政治学
计算机科学
工程类
古生物学
哲学
神经科学
法学
生物
作者
Alexander Richter,Gerhard Schwabe
标识
DOI:10.3127/ajis.v29.5753
摘要
AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared outcomes necessitates a reassessment of what it means to be a team member. This paper critically examines AI’s role in human-AI collaboration, arguing that effective teamwork is not solely defined by mutual understanding but by the complementary contributions of human and AI actors. We highlight the importance of context in shaping collaboration and propose a research agenda structured around five key aspects: (1) rethinking team membership, (2) evolving team roles, (3) the influence of contextual factors, (4) adaptive collaboration practices, and (5) ethical considerations. We call on scholars and practitioners to explore these dimensions to ensure that human-AI teams align with organizational goals and societal values
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