Responsible Machine Learning Summit 2020
The 2nd Annual Responsible Machine Learning Summit will take place on October 9, 2020 and will be a fully virtual event.
The special focus will be on artificial intelligence and machine learning for COVID-19. The broad range of topics will include epidemiological forecasting, machine learning for COVID-19 genomic analysis, drugs and vaccines, digital contact tracing, privacy and security, natural language processing for knowledge discovery, trustworthy AI, and health data processing and sharing.
Virtual Summit Agenda
Keynote Speakers
Oren Etzioni CEO, Allen Institute for AI (AI2) and Professor Emeritus, University of Washington
Ryan Tibshirani Associate Professor, Carnegie Mellon University
Jeannette M. Wing Avanessians Director, Data Science Institute, Columbia University
Panel: AI and COVID-19
Lynn N. Fitzgibbons, MD Infectious Disease Specialist, Cottage Health
Sara Hooker Researcher, Google Brain
Heng Ji, Amazon Scholar and Professor, Computer Science, University of Illinois at Urbana-Champaign
Andrew Mutz Chief Technology Officer, Real Estate at AppFolio
Speakers: AI and COVID-19
Contact Tracing
Cynthia Chen Professor, Civil and Environmental Engineering, University of Washington
Luca Ferretti Senior Researcher, Big Data Institute, University of Oxford
Jeffrey Kahn Andreas C Dracopoulos Director, Johns Hopkins Berman Institute of Bioethics
Elissa Redmiles Researcher, Microsoft Research
Health Data Processing and Resources
Luca Foschini Co-founder and Chief Data Scientist, Evidation Health
Florence Hudson Executive Director, Northeast Big Data Innovation Hub, Columbia University
John O'Donovan Senior Director, Machine Learning at Teladoc Health
Epidemiological Forecasting
Quanquan Gu Assistant Professor, Computer Science, UCLA
XiFeng Yan Professsor, Computer Science, UC Santa Barbara
Prediction, Diagnosis, and Vaccine Design
Sponsors
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