Support for AI Regulation
Ethics & CSRReliability: alpha 0.883 sample items
About this scale
A multi-item measure of public support for government regulation of AI development and deployment. Captures preferences for restriction, transparency requirements, and corporate accountability.
Sample item(s)
“Governments should regulate AI more strictly”
“Companies should be required to disclose how their AI systems work”
“There should be legal limits on what AI can be used for”
Reliability
Reported internal consistency: alpha 0.88. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Foundational AI-policy attitudes report; modern adaptations are widely used.
Source & citation
Zhang, B., & Dafoe, A. (2019): Artificial intelligence: American attitudes and trends. Centre for the Governance of AI, Future of Humanity Institute, University of Oxford.
Zhang & Dafoe (2019): AI American attitudes. Centre for the Governance of AI.
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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