可解释的人工智能和信任:新闻媒体如何塑造公众对人工智能驱动的自主客运无人机的支持。

IF 3.5 2区 文学 Q1 COMMUNICATION
Justin C Cheung, Shirley S Ho
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引用次数: 0

摘要

本研究探讨了新闻媒体对人工智能的关注、感知到的人工智能可解释性、对人工智能的信任以及公众对自主客运无人机的支持之间的复杂关系。使用结构方程模型(N = 1,002),我们发现感知人工智能的可解释性与所有信任维度(即绩效、目的、过程)之间存在显著关联。此外,我们发现公众通过新闻媒体对人工智能的关注获得了对人工智能可解释性的认知。因此,我们发现,当公众考虑是否支持自主客运无人机时,只有对性能维度的信任是相关的。我们的研究结果强调了确保公众可解释性的重要性,并强调了新闻媒体在塑造公众对新兴人工智能技术的看法方面的关键作用。讨论了理论和实践意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explainable AI and trust: How news media shapes public support for AI-powered autonomous passenger drones.

This study delves into the intricate relationships between attention to AI in news media, perceived AI explainability, trust in AI, and public support for autonomous passenger drones. Using structural equation modelling (N = 1,002), we found significant associations between perceived AI explainability and all trust dimensions (i.e., performance, purpose, process). Additionally, we revealed that the public acquired the perception of AI explainability through attention to AI in the news media. Consequently, we found that when the public pondered upon support for autonomous passenger drones, only the trust in performance dimension was relevant. Our findings underscore the importance of ensuring explainability for the public and highlight the pivotal role of news media in shaping public perceptions in emerging AI technologies. Theoretical and practical implications are discussed.

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来源期刊
CiteScore
7.30
自引率
9.80%
发文量
80
期刊介绍: Public Understanding of Science is a fully peer reviewed international journal covering all aspects of the inter-relationships between science (including technology and medicine) and the public. Public Understanding of Science is the only journal to cover all aspects of the inter-relationships between science (including technology and medicine) and the public. Topics Covered Include... ·surveys of public understanding and attitudes towards science and technology ·perceptions of science ·popular representations of science ·scientific and para-scientific belief systems ·science in schools
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