Ilya Feige
Head of Science, Faculty

Ilya Feige is the director of AI at Faculty, where he leads the company’s research and development efforts and ensures that cutting-edge machine learning is used across all Faculty’s commercial data science projects. Previously, Ilya worked at McKinsey & Company, helping to deploy artificial intelligence for some of the world’s largest brands. He’s also an honorary senior research fellow in artificial intelligence at UCL. Ilya was awarded the Goldhaber prize for the best PhD in theoretical physics from Harvard University, and the Governor General’s award for the single highest ranked undergraduate student at McGill University.

Sessions

14:35–15:15 Thursday, 17 October 2019

Location: King's Suite - Balmoral

Concepts and tools for fairness, explainability, and robustness in machine learning

Models and Methods

Secondary topics: Ethics, Security, and Privacy, Machine Learning

Ilya Feige (Faculty)

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Ilya Feige explores AI safety concerns—explainability, fairness, and robustness—relevant for machine learning (ML) models in use today. With concepts and examples, he demonstrates tools developed at Faculty to ensure black box algorithms make interpretable decisions, do not discriminate unfairly, and are robust to perturbed data. Read more.