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  • 标题:Why Real Citizens Would Turn to Artificial Leaders
  • 本地全文:下载
  • 作者:Nicolas Spatola ; Karl F. Macdorman
  • 期刊名称:Digital Government: Research and Practice
  • 印刷版ISSN:2691-199X
  • 电子版ISSN:2639-0175
  • 出版年度:2021
  • 卷号:2
  • 页码:1-26
  • DOI:10.1145/3447954
  • 语种:English
  • 出版社:Association for Computing Machinery
  • 摘要:Governments are increasingly using artificial intelligence to improve workflows and services.Applications range from predicting climate change,crime, and earthquakes to flu outbreaks,low air quality, and tax fraud.Artificial agents are already having an impact on eldercare,education, and open government, enabling users to complete procedures through a Governments are increasingly using artificial intelligence to improve workflows and services.Applications range from predicting climate change,crime, and earthquakes to flu outbreaks,low air quality, and tax fraud.Artificial agents are already having an impact on eldercare,education, and open government, enabling users to complete procedures through a attachment theory and disappointment theory as explanatory models. We found that when thestate of the world provokes anxiety, citizens perceive artificial agents as a reliable proxy toreplace human leaders.Moreover, people accept artificial agents as decision-makers inpolitics and security more willingly when they deem their leaders or government to beuntrustworthy, disappointing,or immoral.Finally, we discuss these results with respect totheories of technology acceptance and the delegation of duties and prerogatives.
  • 关键词:Agents;artificial intelligence;attitudes;competence;technology acceptance;trust
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