Fair ML for Health
NeurIPS 2019 Workshop, East Ballroom B, Vancouver, Canada
Vancouver skyline. (Source)
Workshop Summary
Machine learning has the opportunity to fundamentally change the face of clinical healthcare. However, the challenges of delivering fair and equitable treatment using algorithms have been under-explored. The goal of this workshop is to investigate issues around fairness and other ethical issues that are specific to ML-based healthcare.
We invite everyone to submit an extended abstract or apply for a travel grant.
Invited Speakers
- Milind Tambe (Harvard University): "Applying AI in preventative health interventions: algorithms, deployments and fairness" [video, slides]
- Ziad Obermeyer (UC Berkeley): "Bad Proxies" [video, slides]
- Sharad Goel (Stanford University): "The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning" [video, slides]
- Noa Dagan (Clalit Research Institute) and Noam Barda (Clalit Research Institute): "Addressing Fairness in Prediction Models by Improving Subpopulation Calibration" [video, slides]
- Chelsea Barabas (MIT): "Beyond Bias: Contextualizing 'Ethical AI' Within the History of Race, Exploitation and Innovation in Medical Research" [video, slides]
The workshop will be held in East Ballroom B. See Full Schedule and Accepted Papers for more details.
Diversity Commitment
We commit and adhere to all diversity goals prescribed by NeurIPS 2019.
Access
We are committed to making this workshop as widely accessible as possible.
- All contributed abstracts (and code if made available by authors) will be uploaded on the workshop website.
- Slides from invited speakers will be available here after the workshop. We are looking into providing live stream links here during the workshop..
- Individuals with disabilities can find information about access and special accommodations on the {Dis}Ability in AI website.
- Childcare Facilities are provided in coordination with NeurIPS.
- Sponsors will be specifically asked to contribute toward providing travel grants and covering registration costs.
- Authors who cannot attend in person, but are selected to give spotlights are permitted to stream their presentations remotely.
- Individuals who need financial assistance may apply for a Travel Grant, which will be announced on a rolling basis starting Sept 23.
Organizers
Contact us at fairmlhealth.neurips19@gmail.com
Organizing committee
- Irene Chen (MIT)
- Shalmali Joshi (Vector Institute)
- Shems Saleh (Vector Institute)
Senior advisory committee
- Sendhil Mullainathan (University of Chicago)
- Tristan Naumann (Microsoft Research)
- Ziad Obermeyer (UC Berkeley)
Program Committee
- Julius Adebayo (MIT)
- Elliot Creager (University of Toronto)
- Michaela Hardt (Amazon)
- Byung-Hak Kim (Alpha Health)
- David Madras (University of Toronto, Vector Institute)
- Bret Nestor (University of Toronto, Vector Institute)
- Sofia Kyriazopoulou Panagiotopoulou (Illumina)
- Stephen Pfohl (Stanford University)
- Emma Pierson (Stanford University)
- Kuheli Sai (University of Pittsburgh)
- Vishakha Sharma (Roche Molecular Systems, Inc)
- Sarah Tan (Cornell University / UCSF)
- Berk Ustun (Harvard University)
- Yoni Halpern (Google)
- Ramya Srinivasan (Fujitsu Labs of America)
- Vivek Natarajan (Google)
- Rachneet Kaur (UIUC)
More TBD. If you would like to volunteer to serve on the program committee or nominate someone, please email us at fairmlhealth.neurips19@gmail.com .
Sponsors
