AI Anxiety Scale (AIAS)
Technology / PsychologyReliability: alpha = 0.933 sample items
About this scale
A 21-item scale measuring four facets of anxiety toward AI: learning, job replacement, sociotechnical blindness, and AI configuration. Each item is rated on a 7-point Likert scale.
Sample item(s)
“I am afraid that AI will replace me at work.”
“Learning to use AI tools makes me nervous.”
“I worry that AI systems will not be able to explain how they make decisions.”
Reliability
Reported internal consistency: alpha = 0.93. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Critical for HRM research on AI adoption resistance. Higher-order factor model supported.
Source & citation
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.
Wang & Wang (2022): AI Anxiety Scale validation. ILE 30(4), 619-634.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
Use it in your research
Need to check the reliability or psychometrics of this scale in your own data? Use the free DrAIStudio research tools: