The Case for Independent AI Assurance in Education: From Self-Attestation to External Validation

2026

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

1) This paper argues for the critical need for independent AI assurance in education, moving beyond self-attestation to external validation to meet evolving stakeholder demands and regulatory pressures.
2) * Explores the limitations of self-attestation in AI governance and the increasing demand for documented evidence from external stakeholders like insurers and regulators.
* Details the "Evidence Ladder," outlining different levels of assurance from marketing claims to certification, and identifies the current state of AI governance in education as primarily at the lower levels.
* Discusses trigger conditions that necessitate moving beyond self-attestation and outlines emerging paths and the likely trajectory toward formalization of AI assurance in education.
3) AI governance, education technology, independent assurance, self-attestation, external validation

Check the original publication for accuracy and context.