The Problem with Black Boxes with Cynthia Rudin – TWIML Talk #290

You asked, we listened! Today, by listener request, we are joined by Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University. Cynthia is passionate about machine learning and social justice, with extensive work and leadership in both areas. In this episode we discuss:

Her paper, ‘Please Stop Explaining Black Box Models for High Stakes Decisions’ How interpretable models make for less error-prone and more comprehensible decisions – and why we should care A break down of black box and interpretable models, including their development, sample use cases, and more! Check out the complete show notes at

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