Wang Min, Zhang Kunran, Xu Haomiao
Wuhan University, China.
Public Underst Sci. 2025 Jul;34(5):580-598. doi: 10.1177/09636625241300894. Epub 2024 Nov 29.
This study integrates the Perceived Risk Theory and the Unified Theory of Acceptance and Use of Technology, along with factors such as trust and procedural legitimacy, to assess the Chinese public's risk perception and acceptance of Facial Recognition Technology (FRT) in law enforcement. Analyzing 1,561 valid questionnaires collected from February to July 2023, the results demonstrate that trust and procedural legitimacy positively influence public acceptance of FRT. Trust also mediates the effects of perceived privacy and functional risks on FRT acceptance. Privacy and social risks deter public acceptance, while functional risks surprisingly show positive effects. The study identifies a descending order of negative impact among these risk categories. In addition, the convenience, location and purpose of FRT use, and the severity of crimes it targets significantly delineate public acceptance boundaries, reflecting a consequentialist approach to technology ethics that prioritizes utility and outcomes.
本研究整合了感知风险理论和技术接受与使用统一理论，以及信任和程序合法性等因素，以评估中国公众对执法中人脸识别技术（FRT）的风险认知和接受程度。通过分析2023年2月至7月收集的1561份有效问卷，结果表明，信任和程序合法性对公众接受FRT有积极影响。信任还在感知隐私和功能风险对FRT接受的影响中起中介作用。隐私和社会风险阻碍公众接受，而功能风险却显示出积极影响。该研究确定了这些风险类别中负面影响的降序排列。此外，FRT使用的便利性、地点和目的，以及它所针对犯罪的严重程度显著划定了公众接受的界限，反映了一种后果主义的技术伦理方法，即优先考虑效用和结果。
