AI Bias and Fairness in Practice

AI Bias and Fairness in Practice

This course provides a foundational understanding of AI bias, exploring its various sources from data collection to algorithmic design. Learners will discover different fairness metrics and practical strategies for identifying and mitigating bias throughout the AI development lifecycle. The course also examines real-world examples of biased AI systems and their significant societal consequences.