AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence

The rapid integration of artificial intelligence (AI) within society and the emergence of the fourth industrial revolution (4IR), has ignited a spectrum of emotions in society, ranging from enthusiasm to anxiety. This study investigates the depths of AI anxiety and fear among a population of information science students and professionals. Utilising a survey of over 200 current students and professionals, this study explores the connections between age, gender identity, ethnicity, geographic location, educational attainment and residence, and the levels of anxiety and fear associated with AI and the 4IR. The findings reveal nuanced relationships, with age, ethnicity, academic achievement and regional context serving as critical differentiators in 4IR and AI anxiety within this population. Students and professionals alike may benefit from seeking further education about this emerging technology.

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Institutions

Publication Details

Journal
Journal of Information Science
Published
2024-10-08
DOI
https://doi.org/10.1177/01655515241282001
Citations
28
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
9.73
Controls
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article

AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence

Brady Lund, Nishith Reddy Mannuru, Daniel Agbaji
28 citations
Journal of Information Science
AI in Service Interactions
9.73
article

AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence

Brady Lund, Nishith Reddy Mannuru, Daniel Agbaji
article en
28 citations

Abstract

The rapid integration of artificial intelligence (AI) within society and the emergence of the fourth industrial revolution (4IR), has ignited a spectrum of emotions in society, ranging from enthusiasm to anxiety. This study investigates the depths of AI anxiety and fear among a population of information science students and professionals. Utilising a survey of over 200 current students and professionals, this study explores the connections between age, gender identity, ethnicity, geographic location, educational attainment and residence, and the levels of anxiety and fear associated with AI and the 4IR. The findings reveal nuanced relationships, with age, ethnicity, academic achievement and regional context serving as critical differentiators in 4IR and AI anxiety within this population. Students and professionals alike may benefit from seeking further education about this emerging technology.

Journal of Information Science
University of North Texas (US)
Quality Education
Openalex Percentile: Top 2%
AI in Service Interactions
9.73
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AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence — Brady Lund, Nishith Reddy Mannuru, et al. · Journal of Information Science (2024) | TGRS Research Map | TGRS