ENSURING FAIRNESS AND ACCOUNTABILITY IN AI-POWERED EDUCATION

The question now is not whether AI belongs in education but how we ensure it responsibly serves students, educators, and institutions

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Artificial intelligence (AI) is reshaping education, offering personalised learning, efficiency, and accessibility. For students, AI provides individualised support; for faculty, it streamlines administrative tasks allowing them more time to focus on student success. While it holds great promise it also raises critical ethical concerns, particularly regarding fairness, transparency, and accountability. Educators and institutions must implement AI thoughtfully, ethically, and inclusively to harness its potential without compromising equity or integrity.

Building trust

Ensuring trust in AI goes beyond compliance. It requires confidence from students, faculty, and institutions that AI is a tool to enhance education. One of the greatest concerns in AI adoption is the 'black box' problem. This refers to a situation where faculty and students lack insight into how AI-driven decisions are made. In other words, AI should be explainable, interpretable, and understandable, not something that makes decisions without clear reasoning.