Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early detection program for intimate partner violence. We also discuss how she thinks about the long term implications of predictions in the healthcare domain, how she’s learned to communicate across the interface between the ML researcher and clinician, probabilistic approaches to machine learning for healthcare, and finally, key takeaways for those of you interested in this area of research. The complete show notes for this episode can be found at https://twimlai.com/go/479.

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Trends in Deep Learning with Jeremy Howard - TWiML Talk #214

Trends in Deep Learning with Jeremy Howard - TWiML Talk #214

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Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213

Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213

Today we close out both our NeurIPS series joined by Nando de Freitas, Team Lead & Principal Scientist at Deepmind. In our conversation, we explore his interest in understanding the brain and working ...

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Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212

Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212

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Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

Today we’re joined by Kunle Olukotun, Professor in the department of EE and CS at Stanford University, and Chief Technologist at Sambanova Systems. Kunle was an invited speaker at NeurIPS this year, p...

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Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210

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Today we conclude our Trust in AI series with this conversation with Kathryn Hume, VP of Strategy at Integrate AI. We discuss her newly released white paper “Responsible AI in the Consumer Enterprise,...

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Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209

Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209

Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director at Vector In...

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Trust and AI with Parinaz Sobhani - TWiML Talk #208

Trust and AI with Parinaz Sobhani - TWiML Talk #208

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Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. We discuss his presentation “Unbiased Learning f...

7 Dec 201840min

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