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Chapter 11 References — Governance and Policy

Curated resources for deeper exploration of the topics in this chapter.

Books

  • Kotter, John P. (1996). Leading Change. Harvard Business School Press. The classic eight-step change management model that provides the change-management backbone for rolling out AI governance and policy in schools.

  • Fullan, Michael. (2001). Leading in a Culture of Change. Jossey-Bass. Adapts change leadership theory specifically to education settings, addressing how superintendents and principals can build buy-in for AI governance policies.

  • Stone, Deborah. (2011). Policy Paradox: The Art of Political Decision Making (3rd ed.). W. W. Norton. Introduces the political dynamics of policy-making that school boards navigate when adopting formal AI use policies.

Articles and Reports

  • CoSN. (2023). "AI Governance in K-12: A Guide for School Districts." cosn.org. https://www.cosn.org/ai-governance-guide/ One of the first practitioner-oriented AI governance guides written for K-12 technology leaders, directly aligned with this chapter's policy framework.

  • ISTE. (2023). "Policy Recommendations for AI in Education." iste.org. https://www.iste.org/areas-of-focus/AI-in-education ISTE's advocacy framework for school-level AI policies, covering acceptable use, teacher professional development, and student rights.

  • UNESCO. (2023). "Guidance for Generative AI in Education and Research." unesdoc.unesco.org. https://unesdoc.unesco.org/ark:/48223/pf0000386693 UNESCO's internationally recognized guidance for education institutions developing AI governance policies and professional development programs.

  • White House Office of Science and Technology Policy. (2022). "Blueprint for an AI Bill of Rights." whitehouse.gov. https://www.whitehouse.gov/ostp/ai-bill-of-rights/ The federal framework for responsible AI deployment that informs district-level AI use policies on transparency, explainability, and human oversight.

  • Darling-Hammond, Linda, et al. (2022). "Restarting and Reinventing School: Learning in the Wake of the Pandemic." Learning Policy Institute. https://learningpolicyinstitute.org/product/restarting-reinventing-school-report Provides evidence on the professional development approaches that successfully shifted teacher practice, applicable to AI capacity-building.

Online Resources

  • Consortium for School Networking (CoSN). (2024). AI Policy Templates. https://www.cosn.org/ai/ Free, adaptable AI acceptable-use policy templates that districts can customize, saving significant governance drafting time.

  • ISTE AI Use Policy Hub. (2024). Developing AI Use Policies. https://www.iste.org/areas-of-focus/AI-in-education Curated examples of district AI use policies with annotation explaining the rationale for key provisions.

  • National School Boards Association. (2024). NSBA Policy Resources. https://www.nsba.org/Resources Policy guidance and model board resolutions for technology governance, directly supporting the board-engagement section of this chapter.

  • Digital Promise. (2024). Professional Learning for AI. https://digitalpromise.org/initiative/educator-micro-credentials/ Micro-credential frameworks for teacher professional development in AI literacy, relevant to the PD pillar of AI governance.

Videos

  • ISTE. (2023). "Developing AI Policies with Your School Community." YouTube. https://www.youtube.com/user/ISTEvideos A recorded workshop showing how school leadership teams collaboratively develop AI governance policies, including examples of pilot program design.