Objective: Align AI integration with educational missions and values, ensuring that all Minnesota K-12 stakeholders understand AI's role by December 2024.

Key Actions: Develop a comprehensive AI integration plan with ethical guidelines, update curricula, and conduct regular progress reviews. By 2025-2026, provide a clear AI vision statement and guidelines to all educational stakeholders.

Objective: Prioritize human-centered decision-making in education, emphasizing the role of educators, students, and families.

Key Actions: Create collaborative cohorts, establish a learning matrix to assess AI's educational applications, and share effective methods for information dissemination.

Objective: Ensure equitable access and opportunities in AI implementation, addressing potential biases and promoting digital equity.

Key Actions: Compile a portfolio of resources on equity definitions and examples of AI programs that focus on equity, maintaining an accessible resource guide for all stakeholders.

Objective: Prioritize data privacy, security, and ethical considerations in AI adoption within educational settings.

Key Actions: Recruit additional participants to refine policies, review existing frameworks, and identify areas needing new policy development. Communicate values guiding AI usage.

Objective: Foster a culture of evaluation and innovation, ensuring leaders understand AI’s workings, limitations, and ethical implications.

Key Actions: Provide professional development opportunities on AI for all educational levels, encourage experimentation, and establish clear evaluation criteria for AI tools. Share best practices and existing resources to guide implementation.