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Approaches to Artificial Intelligence Policy Development in K–12 School Districts

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Canonical URL: https://www.semanticscholar.org/paper/9b2ca8d6d2c050db7b246019fe996e014093210b
Topic: unassigned (set during synthesis)
First seen: 2026-07-27 13:13:52
Last seen: 2026-07-27 13:13:52

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Semantic Scholar2026-07-27 13:13:17
Approaches to Artificial Intelligence Policy Development in K–12 School Districts
As generative artificial intelligence (AI) adoption rates continue to surge in K–12 settings, district leaders continue to face pressure to develop responsive AI policies. This study draws on data collected from interviews with leaders from six Colorado districts to examine their approaches to AI policy development and implementation. Findings suggest districts initially relied on informal AI guidelines, student-facing AI bans, or modifications to existing acceptable use policies. Results reveal gaps in professional development and evaluation structures. Implications of this study, including recommendations to support other education leaders in navigating the early stages of AI policy development, are discussed.