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AI capabilities and ethics in Higher Education pose crucial ethical challenges that require proactive regulation and consideration of biases for fair outcomes.
AI capabilities and ethics in Higher Education (HE) raise significant concerns and excitements. Ethical issues such as privacy, data capture, biases, and student surveillance demand context-specific principles and pre-emptive regulation to address them effectively. Governance policies need to be agile and continuously updated to keep up with the fast-evolving nature of AI technologies, while minimizing existing biases for fair academic outcomes.
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