摘要
关注人工智能的公众态度不仅有利于智能技术的可持续发展,也可以为有效开展人工智能的科学传播和风险沟通提供实证基础。本文归纳已有实证研究关于人工智能公众态度的概念界定,梳理人工智能公众态度测量指标设计,并基于当前的概念界定和指标设计的局限性,进一步讨论已有的验证研究工作在数据收集、比较研究方面存在的不足,思考未来人工智能公众态度实证研究可能的探索方向。
The public attitude towards artificial intelligence is not only important to the sustainable development of Al,but also provides an empirical basis for science communication and risk communication of AI.This article systematically summarizes the concept definition of public attitude towards AI,and synthesizes the various measurement indicators of the relevant concepts in the existing empirical research.The limitations of data collection and the gaps of comparative research are further discussed,and the implications for the directions of further research are also elaborated.
作者
朱依娜
邱紫薇
ZHU Yi-na;QIU Zi-wei(School of Culture Industries Management,Communication University of China)
出处
《科学与社会》
CSSCI
2023年第3期127-138,共12页
Science and Society
基金
国家社会科学基金一般项目“公众对人工智能的风险感知及其治理研究”(21BSH047)。
关键词
人工智能
公众态度
概念
测量指标
实证研究
artificial intelligence
public attitudes
concept framework
measurement indicators
empirical findings
