Vol. 2026 No. 1 (2026): 2026 Continuous Issue
Articles

Fish Stinks at the Head: Selecting University Presidents for the AI Era

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  • Viktor Wang
Viktor Wang
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Published 2026-02-16 — Updated on 2026-02-16

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Keywords

  • Artifical Intelligence (AI),
  • Presidential leadership, Leadership misplacement, Shared governance, Psychological safety, AI governance

How to Cite

Wang, V. (2026). Fish Stinks at the Head: Selecting University Presidents for the AI Era. International Journal of AI in Pedagogy, Innovation, and Learning Futures, 2026(1). Retrieved from https://journals.calstate.edu/ijaipil/article/view/6944

Copyright (c) 2026 Viktor Wang

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This article proposes and analytically illustrates a presidential selection framework designed to reduce leadership misplacement and strengthen institutional learning capacity in the AI era. Using a theory-building analytic approach with structured document analysis, the paper examines presidential search signals, early-tenure leadership behaviors, and institutional indicators related to trust climate, shared governance functioning, and AI-era change readiness. The primary contribution is a practical, evidence-based Presidential Search Rubric that boards and search committees can apply to evaluate candidates using enacted evidence rather than prestige-only indicators.

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References

  1. American Association of University Professors, American Council on Education, & Association of Governing Boards of Universities and Colleges. (1966). Statement on government of colleges and universities. American Association of University Professors. https://www.aaup.org/reports-publications/aaup-policies-reports/topical-reports/statement-government-colleges-and
  2. Association of Governing Boards of Universities and Colleges. (n.d.). Shared governance. https://agb.org/knowledge-center/board-fundamentals/shared-governance/
  3. Association of Governing Boards of Universities and Colleges. (2017, October 10). AGB Board of Directors’ statement on shared governance (Updated October 17, 2025). https://agb.org/agb-statements/agb-board-of-directors-statement-on-shared-governance/
  4. Association of Governing Boards of Universities and Colleges. (2025, December 10). Presidential search: The board professional’s integral role. https://agb.org/blog-post/presidential-search-the-board-professionals-integral-role/
  5. Burmicky, J., McClure, K. R., & Ryu, W. (2024). Competencies for the college presidency: A national study of effective leadership in higher education. Academic Search. https://www.presbyteriancolleges.org/wp-content/uploads/Competencies-for-the-College-Presidency-Study.pdf
  6. Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE.
  7. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE.
  8. Edelman. (2025). 2025 Edelman Trust Barometer global report. https://www.edelman.com/sites/g/files/aatuss191/files/2025-01/2025%20Edelman%20Trust%20Barometer%20Global%20Report_01.23.25.pdf
  9. Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383.
  10. Grajek, S., & the 2024–2025 EDUCAUSE Top 10 Panel. (2024, October 23). 2025 EDUCAUSE Top 10: Restoring trust. EDUCAUSE Review. https://er.educause.edu/articles/2024/10/2025-educause-top-10-restoring-trust
  11. Miles, M. B., Huberman, A. M., & Saldaña, J. (2019). Qualitative data analysis: A methods sourcebook (4th ed.). SAGE.
  12. National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework (AI RMF 1.0) (NIST AI 100-1). https://doi.org/10.6028/NIST.AI.100-1
  13. National Institute of Standards and Technology. (2024). Artificial intelligence risk management framework: Generative artificial intelligence profile (NIST AI 600-1). https://doi.org/10.6028/NIST.AI.600-1
  14. National Student Clearinghouse Research Center. (2025, November 11). Preliminary fall report shows steady undergraduate enrollment growth. National Student Clearinghouse. https://www.studentclearinghouse.org/news/preliminary-fall-report-shows-steady-undergraduate-enrollment-growth/
  15. Robert, J., & McCormack, M. (2024, May 23). 2024 EDUCAUSE action plan: AI policies and guidelines. EDUCAUSE. https://library.educause.edu/resources/2024/5/2024-educause-action-plan-ai-policies-and-guidelines
  16. Robert, J., Muscanell, N., McCormack, M., Pelletier, K., Arnold, K., Arbino, N., Young, K., & Reeves, J. (2025, May 12). 2025 EDUCAUSE Horizon Report: Teaching and learning edition. EDUCAUSE. https://library.educause.edu/resources/2025/5/2025-educause-horizon-report-teaching-and-learning-edition
  17. Rose, A. L., & Bergman, M. E. (2016). Organizational communication. In M. G. Rumsey (Ed.), The Oxford handbook of leadership (pp. 437–459). Oxford University Press.
  18. Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
  19. UNESCO. (2023, September 7). Guidance for generative AI in education and research (Last update January 16, 2026). https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
  20. Wang, V., & Sedivy-Benton, A. L. (2016). Leadership misplacement: How can this affect institutions of higher education? New Horizons in Adult Education & Human Resource Development, 28(3), 14–25.
  21. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE.