Psychometric Properties of the Artificial Intelligence (AI) Phobia Scale
DOI:
https://doi.org/10.35516/Edu.2026.15189Keywords:
AI phobia, artificial intelligence, psychometric properties, validity, reliabilityAbstract
Objectives: This study built an Artificial Intelligence (AI) Phobia Scale to examine its psychometric properties.
Methods: A descriptive research design was employed. The sample consisted of 920 adults from Jordan, selected through purposive sampling based on volunteer participation. The initial version of the AI-Phobia questionnaire was constructed using a theoretical framework and insights from relevant previous studies. It comprised 48 items organized into ten dimensions.
Results: The final version of the AI-Phobia Scale included 28 items distributed across seven dimensions: experience, dependability, AI-related fear of missing out (FOMO), information accuracy, privacy violation, job loss, and risk of losing control. Validity and reliability were assessed through multiple approaches: face validity (80% agreement among experts), exploratory factor analysis confirming seven factors, construct validity ranging from 0.417 to 0.889, and internal correlations revealing overlap among 14 items. Internal consistency reliability, measured by Cronbach’s alpha and split-half reliability, ranged from 0.729 to 0.964. These results indicate that the scale demonstrates seven dimensions with statistically acceptable validity and reliability.
Conclusions: The study concludes that the proposed AI-Phobia Scale has statistically acceptable validity and reliability scores and can be utilized in future research.
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Abdipour, N., Rakhshanderou, S., & Ghaffari, M. (2024). Validity and reliability of the TechPH scale in assessing Iranian older adults’ attitudes toward technology. BMC Geriatrics, 24(1), 907. https://doi.org/10.1186/s12877-024-05502-3
Al Jazeera Net. (2025a). “It poses a danger to humanity”: 700 scientists, politicians, and international business leaders call for a halt to the development of super-intelligence. https://ajm.news/5duvlp
Al Jazeera Net. (2025b). Among them are the fathers of technology: 200 global figures are calling for a halt to the artificial intelligence race. https://aja.ws/uegxq1
Alshaibani, M. H., Al-Rahmi, W. M., & Tawafak, R. M. (2025). Psychometric validation of the artificial intelligence anxiety scale: A confirmatory factor analysis for academic research. Contemporary Educational Technology, 17(4), Article ep595. https://doi.org/10.30935/cedtech/17309
American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5th ed., text rev.; DSM-5-TR). American Psychiatric Association Publishing.
Chen, C., Hu, W., & Wei, X. (2025). From anxiety to action: Exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students. Interactive Learning Environments, 33(4), 3162–3177. https://doi.org/10.1080/10494820.2024.2440877
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE.
DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications (5th ed.). SAGE.
Friedmann, V. (2024). Future of Life Institute and the international politics of AI apocalypse. In The Palgrave handbook of non-state actors in East–West relations (pp. 651–663). Springer. https://doi.org/10.1007/978-3-031-39074-3_37
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Jay, T. B. (1981). Computerphobia: What to do about it. Educational Technology, 21(1), 47–48.
Johnson, D. G., & Verdicchio, M. (2017). AI anxiety. Journal of the Association for Information Science and Technology, 68(9), 2267–2270. https://doi.org/10.1002/asi.23867
Khasawneh, O. Y. (2018). Technophobia: Examining its hidden factors and defining it. Technology in Society, 54, 93–100. https://doi.org/10.1016/j.techsoc.2018.03.008
Kim, J. J., Soh, J., Kadkol, S., Solomon, I., Yeh, H., Srivatsa, A. V., et al. (2025). AI anxiety: A comprehensive analysis of psychological factors and interventions. AI and Ethics, 5(4), 3993–4009. https://doi.org/10.1007/s43681-025-00686-9
Lee, P. Y. K., Ma, N. F., Kim, I. J., & Yoon, D. (2023). Speculating on risks of AI clones to selfhood and relationships: Doppelganger-phobia, identity fragmentation, and living memories. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1–28. https://doi.org/10.1145/3579524
Li, J., & Huang, J. S. (2020). Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory. Technology in Society, 63, Article 101410. https://doi.org/10.1016/j.techsoc.2020.101410
Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., et al. (2017). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. McKinsey Global Institute.
Martínez-Córcoles, M., Teichmann, M., & Murdvee, M. (2017). Assessing technophobia and technophilia: Development and validation of a questionnaire. Technology in Society, 51, 183–188. https://doi.org/10.1016/j.techsoc.2017.09.007
Müller, V. C., & Bostrom, N. (2016). Future progress in artificial intelligence: A survey of expert opinion. In V. C. Müller (Ed.), Fundamental issues of artificial intelligence (pp. 555–572). Springer.
OpenTools. (2024). The rise of unpredictable AI: A looming challenge for human control. https://opentools.ai/news/the-rise-of-unpredictable-ai-a-looming-challenge-for-human-control#section5
Osiceanu, M. E. (2015). Psychological implications of modern technologies: "Technophobia" versus "technophilia." Procedia – Social and Behavioral Sciences, 180, 1137–1144. https://doi.org/10.1016/j.sbspro.2015.02.229
Roccetti, M. (2025). The fear of AI: A simple story of complexity. Annales: Proceedings of the Academy of Sciences of Bologna, Class of Physical Sciences, 3, 137–148. https://doi.org/10.30682/annalesps2403l
Rosen, L. D., Sears, D. C., & Weil, M. M. (1987). Computerphobia. Behavior Research Methods, Instruments, & Computers, 19(2), 167–179. https://doi.org/10.3758/BF03203781
Samuel, J., Khanna, T., Esguerra, J., Sundar, S., Pelaez, A., & Bhuyan, S. S. (2025). The rise of artificial intelligence phobia! Unveiling news-driven spread of AI fear sentiment using ML, NLP and LLMs. IEEE Access.
Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022). Acceptance and fear of artificial intelligence: Associations with personality in a German and a Chinese sample. Discover Psychology, 2(1), Article 8. https://doi.org/10.1007/s44202-022-00020-y
Sparrow, R. (2016). Robots and respect: Assessing the case against autonomous weapon systems. Ethics & International Affairs, 30(1), 93–116. https://doi.org/10.1017/S0892679415000647
Wang, C. Y., Song, Y., Wu, C. Y., & Yang, P. T. (2020). The moderating effect of artificial intelligence phobia on the relationship between trust and product promotion effectiveness: An exploratory study. In Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (pp. 356–359).
Wang, G., Obrenovic, B., Gu, X., & Godinic, D. (2025). Fear of the new technology: Investigating the factors that influence individual attitudes toward generative artificial intelligence (AI). Current Psychology, 44(9), 8050–8067. https://doi.org/10.1007/s12144-025-07357-2
Wang, Y. M., Wei, C. L., Lin, H. H., Wang, S. C., & Wang, Y. S. (2024). What drives students’ AI learning behavior: A perspective of AI anxiety. Interactive Learning Environments, 32(6), 2584–2600. https://doi.org/10.1080/10494820.2022.2153147
Wang, Y. Y., & Wang, Y. S. (2022). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), 619–634. https://doi.org/10.1080/10494820.2019.1674887
Yampolskiy, R. V. (2024). AI: Unexplainable, unpredictable, uncontrollable. Chapman & Hall/CRC.
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