Live Webinar

Model Explainability Is Not an Impossibility

Discover how you can see into the black box and explain what is happening with your algorithms.

Oct. 28 • 10 a.m. ET | 3 p.m. CET • Cost: Complimentary

About the webinar

AI algorithms are complicated by nature.

It’s often difficult to understand – much less justify – their conclusions.

But all is not lost. Emerging techniques for explaining algorithmic logic are shining a light into the black box.

Model explainability is not a silver bullet. However, these rapidly evolving capabilities are a critical tool in your AI toolkit.

Join Yannick Martel, AI & Analytics Lead at Capgemini, and SAS’ Brett Wujek as they discuss methods and best practices for explaining AI algorithms. 

You will learn:

  • Why model explainability is mandatory for machine learning in production.
  • When to distinguish between local and global explanations.
  • How model explanations help address bias.

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About the Experts


Brett Wujek
Principal Product Manager, SAS


Yannick Martel
Vice President, Artificial Intelligence and Analytics, Capgemini


Kimberly Nevala
Strategic Advisor & Advisory Business Solution Manager, SAS

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