“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285 episode artwork

EPISODE · Jul 25, 2019 · 1H 15M

“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With a theme of data interpretation, Zachary’s research is focused on machine learning in healthcare, with the goal of assisting physicians through the diagnosis and treatment process. We discuss supervised learning in the medical field, robustness under distribution shifts, ethics in machine learning systems across industries, the concept of ‘fairwashing, and more.

Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With a theme of data interpretation, Zachary’s research is focused on machine learning in healthcare, with the goal of assisting physicians through the diagnosis and treatment process. We discuss supervised learning in the medical field, robustness under distribution shifts, ethics in machine learning systems across industries, the concept of ‘fairwashing, and more.

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“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285

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This episode is 1 hour and 15 minutes long.

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This episode was published on July 25, 2019.

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Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With a theme of data interpretation, Zachary’s research is focused on machine learning in healthcare, with the goal of assisting physicians through the...

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