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Conference contributions 1
ETHICAL AI IN EDUCATION TRANSFORMING PEDAGOGY ASSESSMENT AND INSTITUTIONAL PRACTICES
This paper investigates the role of artificial intelligence (AI) in reshaping education, pedagogy, assessment, and institutional cultures, viewed through interdisciplinary lenses from education, sociology, and ethics. It analyzes how AI driven tools are reconfiguring teaching learning practices, automating and redefining assessment strategies, and driving broader socio institutional transformations. The discussion highlights both opportunities such as personalized learning pathways, adaptive assessment, and improved administrative efficiency and pressing ethical concerns, including algorithmic bias, data privacy, surveillance, and the erosion of human agency in educational decision making. Building on these insights, the paper proposes an ethical reflexive framework for socially responsible AI integration in education. It emphasizes the need to align technological change with pedagogical values, equity, and democratic participation at classroom, institutional, and policy levels. Concrete recommendations are offered for educators, academic leaders, and policymakers to embed transparency, accountability, and cultural sensitivity into AI supported pedagogy, assessment design, and institutional governance. The analysis underscores that AI driven transformations must be guided by social responsibility, not merely by efficiency or technological determinism.