Understanding critical thinking in generative artificial intelligence use: Development, validation, and correlates of the critical thinking in AI use scale
Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI outputs rather than accept them at face value. The present research conceptualises critical thinking in AI use as a dispositional tendency to verify the source and content of AI-generated information, to understand how models work and where they fail, and to reflect on the broader implications of relying on AI. Across six studies ( N =…
Higher critical thinking in AI use was associated with better detection of inaccurate information during a GPT-powered chatbot interaction, including use of more verification strategies.
Evidence
- Peer-reviewedAdvanced Intelligent Systems2024-08-11
- Peer-reviewedFrontiers in Education2024-01-08
- Peer-reviewedEntrepreneurial Business and Economics Review2023-01-01
- Peer-reviewedComputers in Human Behavior Reports2026-05-01
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Truvace Impact Record TRV-2026-0136, v4: “Understanding critical thinking in generative artificial intelligence use: Development, validation, and correlates of the critical thinking in AI use scale.” Truvace, 2026-09-21. /record/TRV-2026-0136 (accessed at citation time). sha256 415cc45ac2b85a7a…
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