Developing a Human Rights and Democracy Framework for AI Governance in European Educational Settings

Abstract

This study develops an operational governance framework for the deployment of artificial intelligence in the European education sector, ensuring compliance with human rights, the rule of law, and democratic principles established by the Council of Europe. Specifically, the framework addresses obligations arising from the European Convention on Human Rights (ECHR), the Council of Europe's Recommendation CM/Rec(2020)1 on algorithmic system impacts, and the European Union's Artificial Intelligence Act (2024), which designates educational AI systems as high-risk applications. Employing a mixed-methods approach combining Delphi methodology with legal and ethical consultation, this research engaged a multidisciplinary panel of 22 European experts specializing in educational law, AI ethics, democratic theory, digital pedagogy, and human rights adjudication. Through three iterative Delphi rounds, the study systematically identified high-risk AI scenarios in educational contexts, established normative consensus regarding implicated human rights and democratic values, and formulated operationally specific, ethically binding, and technically implementable governance guidelines. The resulting framework the European Educational AI Governance Framework (EEAGF) comprises four foundational pillars: (1) Dignity and Non-Discrimination, addressing prevention of automated systems reproducing structural inequalities; (2) Transparency and Explainability, safeguarding stakeholders' rights to understand AI-assisted decisions affecting educational trajectories; (3) Democratic Accountability, establishing institutional oversight mechanisms; and (4) Pedagogical Integrity, ensuring AI deployment serves rather than distorts education's fundamental democratic purposes. The Delphi process identified automated student assessment, behavioural surveillance systems, and AI-assisted admissions as the three highest-risk application categories. Panel consensus revealed that existing educational data protection frameworks, including GDPR Article 22 and national educational legislation, are substantively inadequate for governing the rights implications of these systems without sector-specific supplementary guidance. The EEAGF provides this critical guidance, offering European education stakeholders operationally feasible mechanisms for implementing AI governance aligned with fundamental European values.