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Today we continue our Azure ML at Microsoft Ignite series joined by Sarah Bird, Principal Program Manager at Microsoft.
Sarah, whose work lies primarily in machine learning systems, is now focused on bringing machine learning research into production through Azure ML, including responsible AI. At Ignite, Microsoft released a handful of new tools focused on responsible machine learning, including the Azure Machine Learning 'Machine Learning Interpretability Toolkit'. In our conversation, Sarah walks us through this toolkit, detailing use cases and the experience users can expect when using it. We also discuss the idea of changing "Black-Box" models to "Glass-Box Models", Sarah's recent work in differential privacy, including risks and benefits, and her work in the broader ML community, including being a founding member of the MLSys conference.
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