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  • 标题:Trustworthy human-AI partnerships
  • 本地全文:下载
  • 作者:Sarvapali D. Ramchurn ; Sebastian Stein ; Nicholas R. Jennings
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2021
  • 卷号:24
  • 期号:8
  • 页码:1-13
  • DOI:10.1016/j.isci.2021.102891
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryIn this paper, we foreground some of the key research challenges that arise in the design of trustworthy human-AI partnerships. In particular, we focus on the challenges in designing human-AI partnerships that need to be addressed to help humans and organizations trust their machine counterparts individually or as a collective (e.g., as robot teams or groups of software agents). We also aim to identify the risks associated with human-AI partnerships and therefore determine the associated measures to mitigate these risks. By so doing, we will trigger new avenues of research that will address the key barriers to the adoption of AI-based systems more widely in our daily lives and in industry.Graphical abstractDisplay OmittedArtificial intelligence; Human-computer interaction; Sociology
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