Citation

Pang, Wai Leong and Goh, Hui Hwang and Sim, Yee Wei and Idrus, Intan Izafina and Ahmad, Hafisoh and Chan, Kah Yoong and Chung, Gwo Chin (2026) AI Ethics in Education. In: Artificial Intelligent Towards Sustainable Impact Accelerator through Education, Research and Advocacy. Taylor & Francis Online, pp. 94-108. ISBN 978-104058396-8; 978-104106006-2

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Abstract

The integration of artificial intelligence (AI) in education raises critical ethical concerns that impact multiple stakeholders, including learners, educators, policymakers, technology developers, and institutions. While AI enhances personalized learning, automates assessments, and optimizes administrative tasks, it also presents challenges related to data privacy, algorithmic bias, and the digital divide. Ethical concerns arise from the potential misuse of learner data, the lack of transparency in AI decision-making, and the risk of overreliance on automation, which may compromise human judgment and creativity in education. Addressing these challenges requires collaboration among stakeholders to establish clear ethical frameworks, regulatory policies, and AI literacy initiatives. A human-centered approach to AI integration, emphasizing fairness, accountability, and transparency, is essential to mitigate risks while maximizing benefits. This chapter explores the ethical dimensions of AI in education and proposes strategies to uphold integrity, inclusivity, and trust in AI-driven learning environments.

Item Type:	Book Section
Uncontrolled Keywords:	AI Ethics
Subjects:	L Education > L Education (General)
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	04 Jun 2026 05:32
Last Modified:	08 Jun 2026 07:14
URII:	http://shdl.mmu.edu.my/id/eprint/15927

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