Effect of Artificial Intelligence on Social Trust in American Institutions
作者机构：the Department of SociologyStony Brook UniversityStony BrookNY 11790USA
出 版 物：《Journal of Social Computing》 (社会计算（英文）)
年 卷 期：2023年第4卷第3期
页 面：221-231页
核心收录：
学科分类：1002[医学-临床医学] 100206[医学-皮肤病与性病学] 10[医学]
基 金：supported by the National Science Foundation(Nos.IIS-1927227 and CCF-2208664)
主 题：social trust artificial intelligence(AI) algorithm aversion
摘 要：In recent decades,social scientists have debated declining levels of trust in American *** the same time,many American institutions are coming under scrutiny for their use of artificial intelligence(AI)*** paper analyzes the results of a survey experiment over a nationally representative sample to gauge the effect that the use of AI has on the American public’s trust in their social institutions,including government,private corporations,police precincts,and *** find that artificial intelligence systems were associated with significant trust penalties when used by American police precincts,companies,and *** penalties were especially strong for American police precincts and,in most cases,were notably stronger than the trust penalties associated with the use of smartphone apps,implicit bias training,machine learning,and mindfulness ***’trust in institutions tends to be negatively impacted by the use of new *** there are significant variations in trust between different pairings of institutions and tools,generally speaking,institutions which use AI suffer the most significant loss of *** government agencies are a notable exception here,receiving a small but puzzling boost in trust when associated with the use of AI systems.
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