AI Mistrust (general)
Information SystemsReliability: alpha 0.913 sample items
About this scale
A multi-item measure of generalized mistrust of AI — belief that AI cannot be relied upon and may cause harm.
Sample item(s)
“AI systems generally cannot be trusted”
“AI systems will eventually cause significant harm”
“I am skeptical about claims of AI's capabilities”
Reliability
Reported internal consistency: alpha 0.91. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Companion construct to trust in AI; not its mere inverse.
Source & citation
Glikson, E., & Woolley, A. W. (2020): Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, Vol. 14, No. 2, pp. 627–660.
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.
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