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

2019-07-25 · 75 min · episode 285 · 13 entities

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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
→ hosted by Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
→ discusses Science concept

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evidence rules-v4
Feed category: Science
→ discusses Technology company

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evidence rules-v4
Feed category: Technology
→ discusses News concept

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evidence rules-v4
Feed category: News
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

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concepts 5

mentioned Science concept

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evidence rules-v4
Feed category: Science
mentioned Tech News concept

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evidence rules-v4
Feed category: Tech News
discusses Science concept

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evidence rules-v4
Feed category: Science
discusses News concept

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evidence rules-v4
Feed category: News
discusses Tech News concept

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evidence rules-v4
Feed category: Tech News

companys 4

mentioned TWIML company

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evidence rules-v4
Feed author/publisher: TWIML
mentioned Technology company

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evidence rules-v4
Feed category: Technology
discusses Technology company

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evidence rules-v4
Feed category: Technology
hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

persons 3

mentioned Zachary Lipton person

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evidence rules-v4
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
mentioned Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285

Episode description as stored

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.