Toward a Certification Framework for AI Governance in Education: Design Principles for a Sector-Appropriate Standard

Abstract

The education sector lacks a widely recognized AI governance certification pathway. Healthcare has mature HIPAA compliance ecosystems: audits, attestations, and third-party programs that function as widely recognized evidence.¹ Enterprise technology procurement relies on SOC 2 attestation infrastructure. Education has nothing equivalent for AI, despite deploying AI systems that affect millions of students and facing regulatory deadlines beginning in mid-2026.This memorandum proposes design principles for an education-sector AI governance certification, drawing lessons from three existing models: SOC 2’s trust services criteria and CPA attestation structure, ISO 42001’s comprehensive AI management system controls, and regional education accreditation’s sector-specific peer review approach. Each model offers design elements worth adopting and pitfalls worth avoiding.The analysis yields seven design principles and identifies ten control domains appropriate for education AI governance. The proposed framework addresses four structural challenges: making certification accessible to institutions of varying size, maintaining rigor sufficient for insurance and procurement stakeholders, incorporating education-specific concerns absent from existing standards, and resisting capture by any single stakeholder group.This memorandum and Memorandum No. 7 (The Liability Squeeze) address complementary questions. Memorandum 7 documents why governance documentation has become urgent; this memorandum proposes what certification infrastructure should look like

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