Students are using AI. Teachers are being asked to respond. Schools are making decisions quickly — often without shared standards, sufficient evidence, or a clear picture of what AI is changing for students.
The League of AI-Fluent Schools brings educators, school leaders, researchers, and partners together to define what responsible, effective AI use actually looks like in K-12 education.
The conversation about AI in education has moved quickly toward tools, prompts, and adoption. Schools are being offered training on how to use AI, lists of products to consider, and templates for policy.
What is still missing is a shared standard for evaluating whether AI is helping students learn, supporting teachers, widening or narrowing opportunity, and strengthening the conditions schools need to do their work well.
AI fluency cannot simply mean knowing how to operate a tool. It must mean knowing when AI is appropriate, what evidence supports its use, who benefits, what may be lost, and how a school remains accountable as technology changes.
The League of AI-Fluent Schools is a founding community of schools and districts building a more complete approach to AI.
Together, members use a practical 360° framework to examine AI across the full student experience — moving beyond isolated decisions about individual tools toward an evidence-driven strategy that can hold up over time.
The League is not about slowing innovation down. It is about making sure innovation is worthy of the students, educators, and communities it is meant to serve.
Every school will make different decisions. Every school should be able to ask the same two questions.
Every school will make different decisions about AI. But every school should be able to ask the same foundational questions across six dimensions of school life: Is this responsible? Is this effective?
Does AI strengthen the thinking, practice, and understanding students need to develop?
AI is selected for instructional fit, with teacher judgment central to how and when it is used.
There is evidence that AI supports meaningful outcomes — comprehension, writing, problem-solving, feedback, or access to learning — rather than simply increasing engagement or saving time.
How is AI shaping attention, memory, confidence, identity, and a student’s sense of their own capability?
AI use is calibrated to developmental stage and does not replace foundational thinking, struggle, or human guidance before those capacities have had the chance to form.
Students build durable capability and confidence, rather than dependence on systems that do the work for them.
Who has access to AI, who is being left behind, and how might these systems reproduce or deepen existing inequities?
Schools examine access, language, disability inclusion, bias, data practices, and the different ways AI may affect students across communities.
AI expands meaningful opportunity and support, particularly for students historically underserved, without creating new forms of exclusion or lower expectations.
How is AI reshaping trust, communication, and the relationships students have with teachers, peers, and families?
Schools establish clear norms for where AI belongs in human relationships and where human presence, care, and judgment must remain central.
AI strengthens communication and connection rather than substituting for the relationships students need to learn and thrive.
Who decides which tools are used, on what evidence, and who is accountable when something goes wrong?
Schools use clear processes for evaluation, procurement, privacy, bias review, oversight, and escalation.
Governance is practical, durable, and understood by the people responsible for carrying it out.
Are students gaining the judgment, skills, and adaptability to use AI well in their future education, careers, and civic lives?
Students learn not only how to operate AI tools, but how to question their outputs, understand their limitations, protect their information, and recognize how AI is shaping work, opportunity, and society.
Students leave school prepared to use AI productively and responsibly, while retaining the human capabilities that matter most: critical thinking, communication, creativity, collaboration, and judgment.
The pace of adoption is not slowing. Students are already using AI for homework, writing, research, tutoring, and personal support. Teachers are experimenting with it for planning, feedback, and administrative work. Vendors are moving quickly into classrooms.
The question is no longer whether AI will enter education. It already has. The question is whether schools will have the evidence, language, and community needed to shape its role with intention.
Adoption is not the open question. Standards are.
The founding cohort will shape the League’s framework, self-assessment tools, professional learning, research agenda, and public guidance — helping define what AI fluency should mean in practice, before the field settles for a definition too narrow, too technical, or too disconnected from the realities of students and educators.
Access to the full framework and a schoolwide self-assessment tool.
Priority access to relevant findings and evaluation approaches from the AI Ethics Index.
A working network of schools and districts sharing what is working, what is not, and what needs to change.
Convenings and workshops built around real decisions schools are making, not generic tool tutorials.
Direct input into the League’s research, guidance, and public-facing resources.
Designation as a founding League school, signaling a deliberate, evidence-driven approach to AI.
The League is for educators, school leaders, districts, and partner organizations who believe AI in education should be shaped by evidence, human development, equity, and the realities of school life.
Tell us a little about your interest, and a member of our team will follow up about the founding cohort.