Mar 15–18, 2020
Patrick Hall

Patrick Hall
Senior Director | Adjunct Professor, H2O.ai | George Washington University

@jpatrickhall

Patrick Hall is a senior director for data science products at H2O.ai, where he focuses mainly on increasing trust and understanding in machine learning. Patrick is also an awarded lecturer in the Department of Decision Sciences at George Washington University, the lead author of the e-booklet “An Introduction to Machine Learning Interpretability”, and a member of several multi-institutional working groups pursuing viable technical solutions to the complex challenges presented by high-stakes applications of artificial intelligence.

Sessions

1:30pm5:00pm Monday, March 16, 2020
Location: LL21 E/F
Patrick Hall (H2O.ai | George Washington University)
Even if you've followed current best practices for model training and assessment, machine learning models can be hacked, socially discriminatory, or just plain wrong. This presentation introduces model debugging strategies to test and fix security vulnerabilities, unwanted social biases, and latent inaccuracies in models. Read more.

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