Science and Society
Science and Society
Public Attitudes Towards Artificial Intelligence: A Systematic Review of Conceptualization and Measurement
ZHU Yi-na QIU Zi-wei
(School of Culture Industries Management, Communication University of China)
Abstract: The public attitude towards artificial intelligence is not only important to the sustainable development of AI, 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.
Keywords: artificial intelligence, public attitudes, concept framework, measurement indicators, empirical findings
Author Information:
ZHU Yi-na, Associate Professor, School of Culture Industries Management, Communication University of China. Research interests include public understanding of science, science and society;
QIU Zi-wei, Master’s student, School of Culture Industries Management, Communication University of China. Research interests include technology and culture.
Project Funding:
National Social Science Fund General Project “Research on Public Risk Perception of Artificial Intelligence and Its Governance” (21BSH047).
✦
END
@
Scan to Follow
Science and Society
Mutual influence between science and society
Science and traditional cultural heritage
Integration and collision of science and humanities
Free discussion of scientific thoughts