2024/06/08 by Pascal D. Koenig · 1 voice
Neuroscience · Social Sciences · #Ethics and Social Impacts of AI #Psychology of Moral and Emotional Judgment #Social and Intergroup Psychology
paper · pdf · doi:10.1007/s00146-024-01987-z
openalex publication_date 2024/06/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
Abstract Evidence on AI acceptance comes from a diverse field comprising public opinion research and largely experimental studies from various disciplines. Differing theoretical approaches in this research, however, imply heterogeneous ways of studying AI acceptance. The present paper provides a framework for systematizing different uses. It identifies three families of theoretical perspectives informing research on AI acceptance—user acceptance, delegation acceptance, and societal adoption acceptance. These models differ in scope, each has elements specific to them, and the connotation of technology acceptance thus changes when shifting perspective. The discussion points to a need for combining the three perspectives as they have all become relevant for AI. A combined approach serves to systematically relate findings from different studies. And as AI systems affect people in different constellations and no single perspective can accommodate them all, building blocks from several perspectives are needed to comprehensively study how AI is perceived in society.