Transitioning Crowd-Powered Systems to AI

Date and time: 
Monday, July 10, 2017 - 13:30
Location: 
220 Deschutes
Author(s):
Jeffrey P. Bigham
Carnegie Mellon University

Abstract

Over the past few years, Dr. Bigham has been developing and deploying interactive crowd-powered systems that solve characteristic "hard" problems in computer science by combining human and machine computation. For instance, VizWiz answers visual questions for blind people in seconds, Legion drives robots in response to natural language commands, Chorus holds helpful general conversations with human partners, and Scribe robustly converts streaming speech to text in less than five seconds. In this talk, he will quickly overview that work, and then discuss ongoing work on transitioning from crowd power to computation, in order to lower latency, reduce costs, and increase privacy. 

Biography

Jeffrey P. Bigham is an Associate Professor in the Human-Computer Interaction and Language Technologies Institutes in the School of Computer Science at Carnegie Mellon University. He uses clever combinations of crowds and computation to build truly intelligent systems, with a focus on systems supporting people with disabilities. Dr. Bigham received his B.S.E degree in Computer Science from Princeton University in 2003, and received his Ph.D. in Computer Science and Engineering from the University of Washington in 2009. He has been a Visiting Researcher at MIT CSAIL and Microsoft Research. He has received a number of awards for his work, including the MIT Technology Review Top 35 Innovators Under 35 Award, the Alfred P. Sloan Fellowship, and the National Science Foundation CAREER Award.

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