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Universities face significant challenges in eliminating bias from AI systems, especially when these systems are used for critical tasks like filtering student applications. Even minor biases in AI assessments can lead to lost opportunities for talented students, highlighting the need for effective AI governance. Establishing human oversight and ethical guidelines is essential to ensure that AI systems operate fairly and transparently.
Implementing an institutional AI policy serves as a foundational document for ethical AI use, mandating human oversight and transparency. Universities should also create an AI ethics office to guide decision-making and address high-risk cases, ensuring that AI applications do not infringe on fundamental rights or perpetuate discrimination. The focus on unbiased data sets is crucial, as the quality of training data directly impacts the fairness of AI outcomes.
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