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  • 标题:Systems of collaboration: challenges and solutions for interdisciplinary research in AI and social robotics
  • 本地全文:下载
  • 作者:Frauke Zeller ; Lauren Dwyer
  • 期刊名称:Discover Artificial Intelligence
  • 电子版ISSN:2731-0809
  • 出版年度:2022
  • 卷号:2
  • 期号:1
  • 页码:1-12
  • DOI:10.1007/s44163-022-00027-3
  • 语种:English
  • 出版社:Springer
  • 摘要:Abstract This article examines the challenges and opportunities that arise when engaging with research across disciplines, contributing to the growth of social robotics and artificially intelligent systems. Artificial intelligence has a significant role to play in human–machine communication; however, there are barriers to its adoption and considerations towards systematic implementation for the good of people and societies. This perspective piece considers the position of artificial intelligence in systems of human–machine communication. The study of artificial intelligent systems is one of discovery, trial, and error through a melting pot of methodologies, and this interdisciplinary nature is explored through the perspective of researchers at the centre of collaboration coming from artificial intelligence, robotics, and communication.
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