工件(错误)
危害
知识管理
机构
工程类
政治学
计算机科学
公共关系
工程伦理学
管理科学
社会学
心理学
人工智能
社会心理学
社会科学
作者
Isabella Seeber,Eva Bittner,Robert O. Briggs,Triparna de Vreede,Gert‐Jan de Vreede,Aaron Elkins,Ronald Maier,Alexander Benedikt Merz,Sarah Oeste-Reiß,Nils Randrup,Gerhard Schwabe,Matthias Söllner
标识
DOI:10.1016/j.im.2019.103174
摘要
What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas – Machine artifact, Collaboration, and Institution – and 17 dualities – significant effects with the potential for benefit or harm. The MaT research agenda offers a structure and archetypal research questions to organize early thought and research in this new area of study.
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