State AI Policy in Action: Utah, Wyoming, and California

States are no longer asking whether AI belongs in K-12 education, but how to govern, guide and scale it responsibly. Utah, Wyoming and California are each taking distinct approaches that reflect different governance models, district structures and innovation strategies. In this session, state leaders who are shaping policy and implementation share how their approaches compare. Explore the differences between centralized, county-driven and district-led implementation models, and what effective state AI guidance looks like in practice, not just on paper. Learn how districts interpret and operationalize state policy without slowing innovation, the role county offices play in aligning policy, training and implementation support, and how governance structures can either accelerate or stall AI adoption. Leave with lessons early adopters are learning about responsible AI use at scale and insights you can apply to guidance in your own state or district.