Rethinking AI Literacy Education in Higher Education: Bridging Risk Perception and Responsible Adoption
As AI becomes increasingly embedded across societal domains, understanding how future AI practitioners, particularly technology students, perceive its risks is essential for responsible development and adoption. This study analyzed responses from 139 students in Computer Science, Data Science/Data Analytics, and other disciplines using both explicit AI risk ratings and scenario-based assessments of risk and adoption willingness. Four key findings emerged: (1) Students expressed substantially higher concern for concrete, explicitly stated risks than for abstract or scenario-embedded risks; (2) Perceived risk and willingness to adopt AI demonstrated a clear inverse relationship; (3) Althoug...
| Authors | Shasha Yu, Fiona Carroll, Barry L. Bentley |
|---|---|
| Primary category | cs.CY |
| Published | 31 March 2026 |
| Last updated at source | 31 March 2026 |
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