RAIF Tool helps K–12 educators assess their AI readiness, understand equity gaps, and generate a personalized 90-day implementation plan — at no cost, for any school.
The RAIF Tool guides you through a structured assessment and generates a plan tailored to your school's specific context and student population.
Free · 10 minutes · Personalized plan included · No login required after registration
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The Responsible AI Implementation Framework Tool was developed by Michael Eneye Abdullahi, M.Ed., as part of ongoing research into equitable AI adoption in underserved K–12 communities.
Every component of RAIF Tool — the assessment, the plan generator, and the implementation toolkit — is free and openly available to any educator, school, or district without cost or licensing restrictions.
The framework specifically addresses equity considerations for multilingual learners, students with limited connectivity, and schools in historically underserved communities.
Assessment dimensions and implementation recommendations are grounded in the NETP three-divides framework, federal AI governance principles, and peer-reviewed research on responsible AI in education.
No personally identifiable student information is collected. All school-level data is anonymized and aggregated. Educator data is never shared or sold. FERPA-aligned design throughout.
Developed by: Michael Eneye Abdullahi, M.Ed. in Curriculum and Instruction, Boston College Lynch School of Education and Human Development. Senior Manager, Daily Grant Program, The Pollination Project Foundation. Research interests: digital equity, responsible AI integration, multilingual learner access, and evidence-based implementation in underserved K–12 schools.
Contact: abdullahimichaeleneye@gmail.com | For pilot partnership or research collaboration inquiries, please reach out directly.