Keywords
Artificial intelligence
Education
SWOT
How to Cite
Abstract
Artificial Intelligence (AI) turns into a changing factor in the education sector. It is bringing efficiency and personalization to it, but another aspect of it is causing serious ethical issues. The issue presented in the current research is the fact that there is no clarity or agreement on ethical principles by which AI should be designed, deployed, and managed, especially in regard to bias, transparency, accountability, and trust. The research questions will be to explore the ethical strengths, weaknesses, opportunities and threats of AI into education, and particularly in transparency, accountability and mitigation of bias. The research design of the study was a qualitative, conceptual research design conducted in the approach of SWOT analysis through systematic review of peer-reviewed literature, policy documents, and institutional reports published in 2013-2024. Findings show that the strong aspects of ethical AI are the increasing concern about transparency, explainable AI, and accountability models, and the weak points are algorithmic bias, secrecy, and disjointed responsibility. Emerging forms of governance and human-focused AI are opportunities, and threats are unregulated commercialization, surveillance, and distrust of people. As discussed, ethical AI should not be treated as an addition to design but as a fundamental principle in the design. The paper has a value in that it proposes a systematic ethical analysis model of AI in education using the SWOT. The next generation of studies ought to empirically prove the ethical AI models in the learning setting. The paper draws a conclusion that to implement AI responsibly, it is necessary to have sustained ethical governance, inclusive regulation, and human-centred design.
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Copyright (c) 2026 Dr Nandini Banerjee, Susmita Rakshit (Author)