How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users’ Perception

Amit Kumar Kushwaha (), Ruchika Pharswan (), Prashant Kumar () and Arpan Kumar Kar ()
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Amit Kumar Kushwaha: Indian Institute of Technology Delhi
Ruchika Pharswan: Indian Institute of Technology Delhi
Prashant Kumar: Indian Institute of Technology Delhi
Arpan Kumar Kar: Indian Institute of Technology Delhi

Information Systems Frontiers, 2023, vol. 25, issue 3, No 17, 1260 pages

Abstract: Abstract Artificial intelligence (AI) transits from merely adopted technology to fueling everyday decision-making systems from medication to navigation. With this combination of AI in decision-making systems (ADMS), the present study explores how text-based users' data from social media helps organize the users' perspectives of ADMS? To investigate our research questions, we used a framework consisting of three phases, exploratory, confirmatory, and validatory. We applied hierarchy clustering and topic modeling in the exploratory study, hypothesis building, and empirical analysis during the confirmatory study and support vector machine (SVM) in the validatory study. Our findings suggest that users are primarily concerned about the risk involved in using ADMS. Factors like accountability, self-efficacy, knowledge of ADMS individuals' attitudes towards ADMS impact the perception of ADMS among individuals. This study's theoretical and practical implications have great scope as ADMS is still in its elementary stage.

Keywords: Artificial Intelligence; Perceived risk; Accountability; Fairness; Trust; Machine learning (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10796-022-10293-2

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