Abstract
AI (Artificial Intelligence) has transformed adaptive learning by enhancing student engagement, automating assessments and customizing education. But a formal regulatory structure is essential because of the ethical restrictions of AI governance such as algorithmic bias, data privacy problems, transparency gaps, and accountability challenges. Algorithmic decision-making in education impacts basic rights and values such as privacy, justice, student autonomy, academic integrity, inclusivity and trust. Without governance frameworks to assure accountability, transparency, explainability and ethical deployment, AI risks exacerbating inequities, misrepresenting learner skills, embedding historical biases and permitting damaging levels of surveillance. This chapter considers the responsible governance of AI systems by educational institutions, regulatory organizations and technology companies.