AI as a boss? A national US survey of predispositions governing comfort with expanded AI roles in society

Autor:	Rebecca Giovanetti, Yiming Lei, James E. Katz, Kate K. Mays
Rok vydání:	2021
Předmět:	education.field_of_study business.industry Applied psychology Population Control (management) Communication apprehension Human-Computer Interaction Philosophy Boss Knowledge base Artificial Intelligence Software deployment Relevance (information retrieval) education business Psychology Ai systems
Zdroj:	AI & SOCIETY. 37:1587-1600
ISSN:	1435-5655 0951-5666
Popis:	People’s comfort with and acceptability of artificial intelligence (AI) instantiations is a topic that has received little systematic study. This is surprising given the topic’s relevance to the design, deployment and even regulation of AI systems. To help fill in our knowledge base, we conducted mixed-methods analysis based on a survey of a representative sample of the US population (N = 2254). Results show that there are two distinct social dimensions to comfort with AI: as a peer and as a superior. For both dimensions, general and technological efficacy traits—locus of control, communication apprehension, robot phobia, and perceived technology competence—are strongly associated with acceptance of AI in various roles. Female and older respondents also were less comfortable with the idea of AI agents in various roles. A qualitative analysis of comments collected from respondents complemented our statistical approach. We conclude by exploring the implications of our research for AI acceptability in society.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e235005c43dd389cf5a6b15c06beb59a https://doi.org/10.1007/s00146-021-01253-6 Zobrazit plný text záznamu Full text from SpringerLink