Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective
Hangzhou Normal University · University of Edinburgh
Abstract
The study aims to explore the factors that influence university students' behavioral intention (BI) and use behavior (UB) of generative AI products from an ethical perspective. Referring to ethical decision-making theory, the research model extends the UTAUT2 model with three influencing factors: ethical awareness (EA), perceived ethical risks (PER), and AI ethical anxiety (AIEA). A sample of 226 university students was analysed using the Partial Least Squares Structural Equation Modelling technique (PLS-SEM). The research results further validate the effectiveness of UTAUT2. Furthermore, performance expectancy, hedonistic motivation, price value, and social influence all positively influence university…
Citation impact
- FWCI
- 52.69
- Percentile
- 100%
- References
- 149
Authors
7Topics & keywords
- Perspective (graphical)
- Generative grammar
- Psychology
- Anxiety
- Ethical issues
- Engineering ethics
- Engineering
- Computer science
- Peace, Justice and strong institutions