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Researchers have highlighted the importance of human trust in artificial intelligence (AI), and empirically identified the factors – AI accountability, task types, and the characteristics of user-AI interactions – that can increase individuals’ trust in AI in organizations. A conventional assumption was that trust in AI is critical to the success of human/non-human agent relationships and affects the continued use of AI systems. Despite their contribution to our initial understanding of user-AI interactions, prior studies were mainly conducted in a cross-sectional manner, which limits our understanding of whether and how trust in AI continues to influence AI uses. This study longitudinally investigates whether trust and AI locus of control influence on AI usage change over time. Auto-regressive hierarchical linear modeling results indicated that task performance would enhance trust into AI but not AI locus of control, confirming the literature on AI implementation. However, cross-lagged model results showed that the effect of trust on AI usage was diminished, while that of AI locus of control was intact over time.

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저자

• Kyootai Lee [ Sogang University, Management of Technology ]
• Hankyun Woo [ Sogang University, Management of Technology ]
• Wooje Cho [ Seoul National University, Graduate School of Business ]
• Gwona Ko [ Seoul National University, Graduate School of Business ]

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