Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Across all surveyed units, respondents consistently raised academic integrity concerns, calls for professional development, absence of institutional vision, and equity concerns ranging from unequal access to paid AI tools to biased AI outputs. → Dozier 2026

Evidence¶

Dozier 2026¶

Dozier, V., & Molina, S. C. (2026). Leading From the Precipice: How Academic Deans Are Navigating Artificial Intelligence in Higher Education. New Directions for Student Leadership. https://doi.org/10.1002/yd.70077

q2 · i? · qualitative · r2

Cross-unit thematic findings from the seven-respondent survey case study; the article adds that all participants identified professional development and training as the most critical resource for navigating the transition.

"Several themes spanned all units (see Table 2). First, respondents consistently highlighted the absence of a clear institutional vision or policy framework. Even units with relatively advanced practices expressed uncertainty about the boundaries of ethical use."

Discussion¶

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