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An experimental study of public trust in AI chatbots in the public sector

机译:公共部门AI Chatbots公共信任的实验研究

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This study investigates the public's initial trust in so-called "artificial intelligence" (AI) chatbots about to be introduced into use in the public sector. While the societal impacts of AI are widely speculated about, empirical testing remains rare. To narrow this gap, this study builds on theories of operators' trust in machines in industrial settings and proposes that initial public trust in chatbot responses depends on (i) the area of enquiry, since expectations about a chatbot's performance vary with the topic, and (ii) the purposes that governments communicate to the public for introducing the use of chatbots. Analyses based on an experimental online survey in Japan generated results indicating that, if a government were to announce its intention to use "AI" chatbots to answer public enquiries, the public's initial trust in their responses would be lower in the area of parental support than in the area of waste separation, with a moderate effect size. Communicating purposes that would directly benefit citizens, such as achieving uniformity in response quality and timeliness in responding, would enhance public trust in chatbots. Although the effect sizes are small, communicating these purposes might be still worthwhile, as it would be an inexpensive measure for a government to take.
机译:本研究调查了公众对所谓的“人工智能”(AI)聊天即将被引入公共部门的聊天信任。虽然AI的社会影响得到了广泛推测的,但经验测试仍然罕见。为了缩小这一差距,这项研究建立了运营商对工业环境的机器的信任理论,并提出了在聊天响应中的初始公众信任取决于(i)查询领域,因为对Chatbot的期望与主题不同,而且(ii)政府向公众沟通聊天聊天的目的。基于日本的实验在线调查的分析产生的结果表明,如果政府宣布其使用“AI”聊天的意图回答公众查询,公众在父母支援领域的响应中的最初信任将低于在废物分离区域,效果尺寸中等。沟通目的,将直接受益公民,例如在响应质量和回应时的及时性地实现统一性,将加强对聊天禁令的公众信任。虽然效果大小很小,但传播这些目的可能仍然值得,因为它将成为政府采取的廉价措施。

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