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Learning Xai: Explainable Artificial Intelligence (2025)
Released 04/2025
With Jazmia Henry
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 39m 38s | Size: 507 MB[/center]

This course explores how to identify, evaluate, and mitigate bias in large language models through data curation, mathematical analysis, and model constraints.
Course details
This course focuses on the data-based and mathematical factors contributing to bias in generative AI. Join instructor Jazmia Henry as she explores how data curation, analytical techniques, and post-training constraints can mitigate harmful biases embedded in these models. Through real-world examples and case studies, the course aims to help you understand and apply strategies for creating fairer, more transparent AI systems.
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