Artificial Intelligence (AI) is transforming the education sector, but its adoption in universities raises concerns about transparency, bias, and job displacement. To address these issues, universities must prioritize the development of explainable AI models that provide insights into their decision-making processes. This requires collaboration between AI researchers, educators, and policymakers to develop standards and guidelines for transparent AI practices. Moreover, universities can prepare students for an AI-driven workforce by incorporating AI-related courses, teaching ethics, and fostering a culture of lifelong learning. By emphasizing skills like creativity, empathy, and complex problem-solving, universities can equip students with the skills needed to succeed in an AI-driven economy.
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