Ethical AI: Combatting Bias in Education

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This coursework examines bias in AI systems, exploring its nature, types, and the importance of fairness. Students will learn to measure and identify bias using standardized metrics, analyze real-world examples, and explore strategies for mitigation. The curriculum concludes with discussions on ethical AI practices, ongoing improvement, and fairness-focused design principles, preparing students to integrate equity into AI development responsibly.