Adiyono Adiyono, Sri Nurhayati, Ellina Rienovita, Eka Setiawati, Cyintia Kumalasari
The integration of Artificial Intelligence (AI) in education offers significant opportunities for adaptive, personalized, and efficient learning, yet it also presents serious ethical challenges related to algorithmic bias, student data privacy, and unequal access. This chapter explores how biased AI systems may reinforce existing social inequalities, how weak data governance can undermine students’ autonomy and security, and how digital divides can marginalize vulnerable communities. By combining insights from ethics, education, and public policy, this chapter proposes an inclusive and transparent ethical framework grounded in three pillars: mitigating bias through fair algorithmic design, protecting privacy through responsible data governance, and promoting equity to ensure that all learners benefit from AI innovations. The framework aims to guide the responsible adoption of AI in education and contribute to global efforts to ensure that technological progress aligns with ethical integrity and human values. © 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
Sekolah Tinggi Ilmu Tarbiyah Ibnu Rusyd, Tanah Grogot, Paser, Indonesia; IKIP Siliwangi, Indonesia; Universitas Pendidikan Indonesia, Indonesia; Universitas Setia Budhi, Indonesia; Universitas Islam Riau, Indonesia
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