Ethical AI: Combatting Bias in Education

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.