[3I4-GS-11] AI and Society:

[3I4-GS-11-02] Trust, Risk Perception, and Usage Gaps between University Faculty and Students in Generative AI

〇satoshi Taguchi¹, Kiho Tanaka¹ (1. Doshisha University)

[[Online]]

Keywords:Generative AI, trust

This study investigates perception gaps regarding generative AI between university researchers and students (N=337), a crucial issue given the increasing integration of this technology in academia. Using a modified Generative AI Attitude Scale, we compared researcher and student attitudes and usage. Results revealed three key discrepancies: a trust gap (researchers < students), a gap in willingness-to-use and perceived usefulness (researchers > students), and a perceived risk of ‘lack of originality’ gap (researchers < students). These findings suggest that researchers, while demonstrating a lack of trust in generative AI, exhibit a strong intention to utilize it, and, furthermore, assess the risk of ‘lack of originality’ as lower than students. This research contributes to the discourse on building trust in generative AI and addressing algorithm aversion, offering implications for technology policy in higher education.