AI in Education: Negotiating for Our Future - A Checklist for K12 Districts

Considerations for the School Districts in Considering Large Scale AI Model Deals

As Artificial Intelligence (AI) and frontier AI models rapidly reshape the educational landscape, school systems face a dual challenge: harnessing these tools' transformative potential while rigorously safeguarding student data, privacy, and well-being. Procurement is no longer just about purchasing; along with AI literacy, it is the first line of defense in responsible AI governance.

For years, Project Unicorn has championed the need for data to flow seamlessly and securely between systems to inform instruction and operations. Simultaneously, the EDSAFE AI Alliance has led the global charge on the SAFE (Safety, Accountability, Fairness, and Efficacy) benchmarks for AI adoption in education.

Now, as "frontier models"—highly capable, large-scale AI systems—enter our schools, these two missions must converge. Procurement is the intersection where safety meets connectivity.

We developed this resource to bridge the gap between technical data governance and ethical AI implementation, responding to practical needs from our work leading 29 school district policy labs and 10 state policy labs. These questions are designed to help district and state leadership vet tools not just for what they can do, but for how they fit into a secure, interoperable, and learner-centered ecosystem. Whether you are evaluating a standalone AI app or integrating a large-scale frontier model, this guide can be part of your blueprint for responsible innovation.