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  • 标题:The effect of shared investing strategy on trust in artificial intelligence
  • 本地全文:下载
  • 作者:Ryosuke Yokoi ; Kazuya Nakayachi
  • 期刊名称:実験社会心理学研究
  • 印刷版ISSN:0387-7973
  • 电子版ISSN:1348-6276
  • 出版年度:2019
  • 卷号:59
  • 期号:1
  • 页码:46-50
  • DOI:10.2130/jjesp.1819
  • 出版社:The Japanese Group Dynamics Association
  • 摘要:

    This study examined the determinants of trust in artificial intelligence (AI) in the area of asset management. Many studies of risk perception have found that value similarity determines trust in risk managers. Some studies have demonstrated that value similarity also influences trust in AI. AI is currently employed in a diverse range of domains, including asset management. However, little is known about the factors that influence trust in asset management-related AI. We developed an investment game and examined whether shared investing strategy with an AI advisor increased the participants’ trust in the AI. In this study, questionnaire data were analyzed (n=101), and it was revealed that shared investing strategy had no significant effect on the participants’ trust in AI. In addition, it had no effect on behavioral trust. Perceived ability had significantly positive effects on both subjective and behavioral trust. This paper also discusses the empirical implications of the findings.

  • 关键词:artificial intelligence;trust;value similarity;asset management
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