10.57647/JNTELL.2025.si-02

AI Literacy in Education: Balancing Innovation, Ethics, and Equity in the Digital Age

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  • Shaghayegh Shirzad*1,
  • Mansoor Ali Darazi2,
  1. Eiman Narimani Marketing Management Co. L. L.C., Dubai, UAE
  2. Department of Education, Benazir Bhutto Shaheed University Lyari, Karachi, Sindh, Pakistan

Received: 2025-09-15

Revised: 2025-09-25

Accepted: 2025-09-30

Published in Issue 2025-10-19

Copyright (c) 2025 Shaghayegh Shirzad, Mansoor Ali Darazi (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Shirzad, S., & Darazi, M. A. (2025). AI Literacy in Education: Balancing Innovation, Ethics, and Equity in the Digital Age. Journal of New Trends in English Language Learning (JNTELL), 4. https://doi.org/10.57647/JNTELL.2025.si-02
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Abstract

Artificial Intelligence (AI) is rapidly reforming education by transforming how learning materials are accessed, personalized, and delivered. Its integration into classrooms and higher education offers opportunities to foster deeper engagement, enhance literacy, and provide adaptive support for learners with diverse needs. AI also empowers educators by streamlining assessment, facilitating differentiated instruction, and opening new possibilities for collaborative learning. Despite this potential, significant challenges accompany AI adoption. Concerns over data privacy, unequal access, and algorithmic bias, threaten to exacerbate existing educational inequalities and undermine trust in digital technologies. These issues highlight the importance of approaching AI not merely as a technological innovation, but as a social practice requiring transparency, accountability, and ethical safeguards. This paper reviews current literature on AI in education, critically evaluates its ethical and pedagogical implications, and outlines strategies for responsible integration. By foregrounding principles of fairness, inclusivity, and learner protection, the study advocates for the development of AI literacy among both educators and students. The conclusion emphasizes the need for a balanced framework that leverages AI’s benefits while mitigating risks, ensuring its role in building equitable, future-ready educational systems.

Keywords

  • Algorithmic Bias,
  • Artificial Intelligence,
  • Data Privacy,
  • Educational Literacy,
  • Inclusive Education,
  • Ethical Considerations
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