The effect of shared investing strategy on trust in artificial intelligence

Ryosuke Yokoi, K. Nakayachi
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引用次数: 6

Abstract

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.
共享投资策略对人工智能信任的影响
本研究考察了资产管理领域人工智能(AI)信任的决定因素。许多关于风险感知的研究发现,价值相似性决定了人们对风险管理者的信任。一些研究表明,价值观相似性也会影响对人工智能的信任。人工智能目前被应用于各种领域,包括资产管理。然而,人们对影响资产管理相关人工智能信任的因素知之甚少。我们开发了一个投资游戏,并研究了与人工智能顾问分享投资策略是否会增加参与者对人工智能的信任。本研究对问卷数据进行分析(n=101),发现共享投资策略对参与者对人工智能的信任没有显著影响。此外,它对行为信任没有影响。感知能力对主观信任和行为信任均有显著的正向影响。本文还讨论了研究结果的实证意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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