Explainable AI and trust: How news media shapes public support for AI-powered autonomous passenger drones

被引:2
作者
Cheung, Justin C. [1 ,2 ]
Ho, Shirley S. [1 ,2 ]
机构
[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, 31 Nanyang Link, Singapore 637718, Singapore
[2] Campus Res Excellence & Technol Enterprise, Singapore, Singapore
基金
新加坡国家研究基金会;
关键词
trust in AI; explainable AI; XAI; perceived explainability; public opinion; autonomous passenger drones; MASS-MEDIA; ARTIFICIAL-INTELLIGENCE; VALUE PREDISPOSITIONS; RISK PERCEPTIONS; ATTENTION; SCIENCE; NANOTECHNOLOGY; AUTOMATION; KNOWLEDGE; ATTITUDES;
D O I
10.1177/09636625241291192
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
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.
引用
收藏
页码:344 / 362
页数:19
相关论文
共 86 条
[1]  
Ackerman Evan., 2017, IEEE spectrum
[2]   Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence [J].
Ali, Sajid ;
Abuhmed, Tamer ;
El-Sappagh, Shaker ;
Muhammad, Khan ;
Alonso-Moral, Jose M. ;
Confalonieri, Roberto ;
Guidotti, Riccardo ;
Del Ser, Javier ;
Diaz-Rodriguez, Natalia ;
Herrera, Francisco .
INFORMATION FUSION, 2023, 99
[3]  
[Anonymous], 2023, TikTok earned $205 million more than Facebook, Twitter, snap and Instagram combined on in-app purchases in 2023
[4]   The National Science Foundation's science and technology survey and support for science funding, 2006-2014 [J].
Besley, John C. .
PUBLIC UNDERSTANDING OF SCIENCE, 2018, 27 (01) :94-109
[5]   Does Fairness Matter in the Context of Anger About Nuclear Energy Decision Making? [J].
Besley, John C. .
RISK ANALYSIS, 2012, 32 (01) :25-38
[6]  
Brantner C, 2021, INT J COMMUN-US, V15, P5074
[7]  
Brundage Miles., 2018, The Malicious use of artificial intelligence: forecasting, prevention, and mitigation
[8]  
Castelvecchi D., 2016, NATURE, V538, P23
[9]  
Cheung GW, 2017, Academy of Management Proceedings, V2017, P12706, DOI [10.5465/ambpp.2017.12706abstract, 10.5465/AMBPP.2017.12706abstract, DOI 10.5465/AMBPP.2017.12706ABSTRACT, 10.5465/AMBPP.2017.12706]
[10]   Where exactly between utopia and dystopia? A framing analysis of AI and automation in US newspapers [J].
Cools, Hannes ;
Van Gorp, Baldwin ;
Opgenhaffen, Michael .
JOURNALISM, 2024, 25 (01) :3-21