AI Commission Recommendations
Establish State AI Networks
Policy recommendation 1, Commission on AI in Education
States should establish statewide artificial intelligence networks so people, groups and agencies can connect, communicate, collaborate and coordinate AI efforts across each state.
These statewide networks could eventually form a regional group of statewide AI network representatives who could gather regularly to share challenges and successes.
Coordination across states is crucial as states, colleges and schools implement AI practices, policy and training.
Develop Targeted AI Guidance
Policy recommendation 2, Commission on AI in Education
States should develop and maintain targeted guidance for distinct groups using, integrating or supporting the use of AI in education.
States should include, for example, elementary students, middle school students, high school students, postsecondary students, teachers, administrators, postsecondary faculty and administrators and parents.
As of early January 2025, 33 states have either published state-level guidance or have state-level groups working on writing state guidance related to AI in K-12 education.
Provide High-Quality Professional Development
Policy recommendation 3, Commission on AI in Education
State K-12 and postsecondary agencies should provide leadership by working with local districts and institutions to develop plans to provide and incentivize high-quality professional development for AI.
The plans should aim to enhance student learning.
The research is clear: professional learning helps teachers and faculty enhance their teaching skills and grapple with change.
Integrate Into Standards & Curricula
Policy recommendation 4, Commission on AI in Education
States should integrate into statewide K-12 standards and curricula the AI knowledge and skills students need to prepare them for success in the workforce.
State K-12 standards provide all students, regardless of where they live, access to the same high-quality education, with clear and measurable goals for student learning at each grade level. Standards help teachers understand what is expected of them and what students need to achieve.
Assess Local Capacity and Needs
Policy recommendation 5, Commission on AI in Education
States should develop and conduct AI needs assessments across their states to determine the capacity of local districts, schools and postsecondary institutions to integrate AI successfully.
These should be designed to help states determine which institution, district or school needs state support, what type of support and at what level.
The success of new policies and initiatives hinges on how effectively they are implemented.
Develop Resource Allocation Plans
Policy recommendation 6, Commission on AI in Education
States should develop detailed resource allocation plans for AI implementation in schools, school districts and institutions of postsecondary education to ensure that the implementation of AI is successful, sustainable and available to all students.
These plans should inform state fiscal notes related to education and AI.
It is hard to imagine that integrating AI technology into education across districts and institutions will not require some state investment, considering local capacity issues and limited economies.
Risk Management
Policy recommendation 7, Commission on AI in Education
States should partner with school districts and postsecondary systems and institutions to ensure risk management policies have been revised to assess and reduce risks associated with AI.
To assess, mitigate and manage the risks associated with artificial intelligence, school districts and postsecondary institutions will need comprehensive risk management plans. This may only require that current risk management policies be updated.
Risk-management components to consider: