Ask the Expert Webinar Series

AI Explained: Techniques and Tricks to Improve the Interpretability of Machine Learning Models

June 26 • 11 a.m. ET • Cost: Complimentary

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About the webinar

Artificial Intelligence is undoubtedly a game-changer; however, there are caveats.

It needs to be understandable, trustworthy and accountable for it to be adopted in critical situations – health care, finance and security, for example.

Enter explainable AI – this enables us to understand, trust and validate decisions made by machine learning models, which is paramount to capitalizing on the true benefit of AI.

You will learn:

  • What are black box models?
  • Why interpretability matters.
  • When to distinguish between local and global explanations.

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About the experts


José Aragão Júnior

Professor, Farias Brito University

José Belo Aragão Júnior is a data scientist with solid experience working on machine learning, statistical simulation and data engineering projects using the SAS platform, including SAS® Viya®. A certified instructor by the SAS Institute, he provides technical training aimed at market professionals and public institutions. He has a degree in mathematics and telecommunications engineering, an MBA in project management and a master's degree in teleinformatics engineering. He also teaches artificial intelligence, probability and statistics and data science in undergraduate and graduate courses. He holds SAS and PMP certifications and was a finalist in the SAS Curiosity Cup 2024.

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