Algorithmic Bias: Identification and Mitigation

This program provides a professional framework for identifying, assessing, and managing bias within artificial intelligence systems. Participants will learn how hidden biases enter datasets and influence algorithmic decision-making. The curriculum covers practical fairness metrics, technical mitigation strategies, and the implementation of robust governance frameworks for responsible AI deployment. Through a series of real-world case studies, the course demonstrates how to build transparent, accountable systems that align with ethical business practices and regulatory requirements.