AI Bias Detection and Mitigation
AI Bias Detection and Mitigation
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 25m | 68.7 MB
Instructor: Ed Freitas
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 25m | 68.7 MB
Instructor: Ed Freitas
AI systems can unintentionally reinforce harmful bias. This course will teach you how to detect, analyze, and mitigate bias in machine learning models using real-world tools and techniques
What you'll learn
AI models can unintentionally produce biased outcomes that negatively impact individuals and organizations. In this course, AI Bias Detection and Mitigation, you’ll learn to identify, analyze, and reduce bias in machine learning systems.
First, you’ll explore the core concepts of AI bias, including its types, sources, and real-world consequences. Next, you’ll discover how to detect bias using tools like Fairlearn and perform dataset analysis to uncover imbalance. Finally, you’ll learn how to apply bias mitigation strategies such as preprocessing, in-processing, and postprocessing techniques.
When you’re finished with this course, you’ll have the skills and knowledge of responsible AI development needed to build fairer, more trustworthy models.
AI Bias Detection and Mitigation
