Beyond the Production of Answers: A Conceptual and Documentary Analysis of Human Judgement in AI-Mediated Education

Artificial intelligence (AI) is increasingly present in education, from explaining concepts and generating text to supporting assessment and lesson preparation. Yet the ability to use these systems is not the same as learning, and improved task performance does not necessarily indicate intellectual development. This paper asks how AI education in India should be understood in relation to the purposes of education. It combines critical conceptual synthesis with interpretive analysis of selected Indian curriculum and higher-education documents published between 2022 and 2026, read alongside recent scholarship and UNESCO frameworks. Drawing on recent discussions of qualification, socialisation and subjectification, it argues that AI education should be judged not only by technical competence but also by whether it sustains learners’ capacity to question, interpret and take responsibility for knowledge. The paper distinguishes three connected pedagogical relationships: learning about AI, learning with AI and learning to judge AI. These serve as an interpretive lens, not a new competency taxonomy. The selected school documents make AI learning more explicit than the broad higher-education frameworks, raising a question of curricular continuity. A purpose-oriented approach is proposed to connect technical understanding and productive use with critical judgement, social responsibility and learner agency.