Workshop
Fair ML in Healthcare
Shalmali Joshi · Irene Y Chen · Shems Saleh · Ziad Obermeyer · Sendhil Mullainathan

Sat Dec 14th 08:00 AM -- 06:00 PM @ East Ballroom B
Event URL: http://www.fairmlforhealth.com »

Clinical healthcare has been a natural application domain for ML with a few modest success stories of practical deployment. Inequity and healthcare disparity has long been a concern in clinical and public health for decades. However, the challenges of fair and equitable care using ML in health has largely remained unexplored. While a few works have attempted to highlight potential concerns and pitfalls in recent years, there are massive gaps in academic ML literature in this context. The goal of this workshop is to investigate issues around fairness that are specific to ML based healthcare. We hope to investigate a myriad of questions via the workshop.

09:00 AM Check-in and set up contributed posters (Check-in)
09:15 AM Opening Remarks <span> <a href="#"></a> </span>
09:30 AM Keynote - Milind Tambe (Talk)
10:00 AM Invited Talk - ZIad Obermeyer (Talk) Ziad Obermeyer
10:30 AM Coffee Break and Poster Session (Poster Session I)
Rameswar Panda, Prasanna Sattigeri, Kush Varshney, Karthi Natesan Ramamurthy, Harvineet Singh, Vishwali Mhasawade, Shalmali Joshi, Laleh Seyyed-Kalantari, Matthew McDermott, Gal O Yona, James Atwood, Hansa Srinivasan, Yonatan Halpern, D. Sculley, Behrouz Babaki, Margarida Carvalho, Josie Williams, Narjes Razavian, Haoran Zhang, Amy Lu, Irene Y Chen, Xiaojie Mao, Angela Zhou, Nathan Kallus
11:00 AM Breakout Sessions <span> <a href="#"></a> </span>
12:45 PM Lunch Break <span> <a href="#"></a> </span>
02:00 PM Invited Talk - Sharad Goel (Talk)
02:30 PM Invited Talk - Noa Dagan/Noam Barda (Talk) Noam Barda, Noa Dagan
03:00 PM Invited Talk - Chelsea Barabas (Talk)
03:30 PM Coffee Break and Poster Session (Poster Session)
04:00 PM Discussion Panel - All invited speakers will be panelists (Discussion Panel)
05:00 PM Spotlight Talks and Poster Session <span> <a href="#"></a> </span>

Author Information

Shalmali Joshi (Vector Institute)
Irene Y Chen (MIT)

Irene is a PhD student at MIT focusing on applications on health care and fairness. She did her undergrad at Harvard where I studied applied math and computational engineering. Before starting at MIT, she worked for two years at Dropbox as a data scientist and machine learning engineer.

Shems Saleh (Vector Institute)
Ziad Obermeyer (UC Berkeley School of Public Health)
Sendhil Mullainathan (University of Chicago)

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