Videos of Human AI Collaboration: A Dynamic Frontier Conference

November 1 2017. Stanford, USA
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13Speakers
9Reports
9Videos
3Content hours

About conference

Topic:IT
Thought Leaders from the mediaX community came together to discuss and examine these questions:1. On which tasks will machines with AI be able to out-perform humans?2. What do we know about people and technology that will help us establish confidence, certainty and collaboration in the new partnerships between human and artificial intelligence?And, most importantly:3. How can intelligent machines truly enhance the human experience?
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Headliners

Martha Russel

Executive Director of Media X at Stanford University
Martha G. Russell is Executive Director of Media X at Stanford University, Senior Research Scholar at the Human Sciences and Technology Advanced Research (H*STAR) Institute at Stanford University and a Fellow at the Institute for Innovation, Creativity and Capital (IC2) at The University of Texas at Austin.

Neil Jacobstein

Chair at Singularity University
Neil Jacobstein chairs the Artificial Intelligence and Robotics Track at Singularity University on the NASA Research Park campus in Mountain View California. He served as the former President of Singularity University.

Daniel Rubin

Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology at Stanford University
Daniel L. Rubin, MD, MS is Professor of Biomedical Data Science, Radiology, Medicine (Biomedical Informatics), and Ophthalmology (courtesy) at Stanford University. He is Principal Investigator of two centers in the National Cancer Institute's Quantitative Imaging Network (QIN) and is Director of Biomedical Informatics for the Stanford Cancer Institute. He also leads the Research Informatics Center (RIC) of the School of Medicine. He previously chaired the Informatics Committee of the ECOG-ACRIN cooperative group, of the QIN Executive Committee, and of the RadLex Steering Committee of the Radiological Society of North America. His NIH-funded research program focuses on quantitative imaging and integrating imaging data with clinical and molecular data to discover imaging phenotypes that can predict the underlying biology, define disease subtypes, and personalize treatment. He is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), Fellow of the American College of Medical Informatics (ACMI), Fellow of the Society of Imaging Informatics in Medicine (SIIM), and recipient of the Distinguished Investigator Award from the Academy for Radiology & Biomedical Imaging Research. He has published over 240 scientific publications in biomedical imaging informatics and radiology.
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Daniel Rubin
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology at Stanford University
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Martha Russel
Executive Director of Media X at Stanford University
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Organizer committee: Stanford Graduate School of Education,