Recommended responses by AI distrust dimension
| Distrust dimension | Distrust indicators (top quartile/decile) | Pedagogical and governance response |
|---|---|---|
| Contextual: Data Protection Distrust |
| Prioritizing transparency and safeguards by providing clear guidance on what data may be entered into AI tools, anonymization of sensitive inputs, use of institution-approved platforms, and explicit information on data storage and third-party access |
| Cognitive: Functional Distrust |
| Increasing instructional support and verification practices such as activities to evaluate output quality, instructor demo of strong vs. weak AI outputs, introduction of assessment criteria that reward error-spotting and comparison of AI outputs to validated sources |
| Emotional: Distrust of AI Replacing Humans |
| Reinforcing human mentoring by explicit positioning of AI as augmentative, increasing instructor interaction, introducing assessments emphasizing judgement and reflection |
| Distrust dimension | Distrust indicators (top quartile/decile) | Pedagogical and governance response |
|---|---|---|
High scores on this subscale Frequent student concerns about data handling High opt-out intention | ||
High scores on this subscale Low usage despite access to AI Complaints that outputs are inaccurate or not useful | ||
High scores on this subscale Resistance to participate in AI-integrated activities Concerns about reduced human support |
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