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Lab 10: Bias and Fairness with AIFairness 360 Toolkit

In this hands-on lab, you will get some practical experience using the AIF360 toolkit. You will be using the toolkit in a Jupyter notebook to explore bias metrics, bias in models and bias mitigation strategies.

For the lab, you will be following these lab instructions

Javier Torres

Developer Advocate

Javier Torres is a developer advocate and senior software engineer with IBM. He engages with customer and partner development teams to enable them on Cloud & Artificial Intelligence technologies. Prior to this role, he was a Solution Architect focusing on IBM Watson technologies. Javier has more than 15 years experience and holds a Masters degree in Computer Science. He is currently interested in topics related to machine learning, deep learning, information retrieval and learning new development languages/technologies. Outside of technology and work; Javier enjoys spending time with his wife and daughter, and being active outdoors.