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ML Lunch (Nov 25, 2013): Crowd Agents: A Top-Down Approach to Intelligent Interactive Systems

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Published on Nov 25, 2013

Speaker: Jeffrey P. Bigham
Human-Computer Interaction Institute, CMU

Abstract
Over the past few years, I have been developing and deploying interactive crowd-powered systems that solve characteristic “hard” problems to help people get things done in their everyday lives. For instance, VizWiz answers visual questions for blind people in less than a minute, Legion drives robots in response to natural language commands, Chorus holds helpful conversations with human partners, and Scribe converts streaming speech to text in less than five seconds.

The future envisioned by my research is one in which the intelligent systems that we have dreamed about for decades, which have inspired generations of computer scientists from its beginning, are brought about for the benefit of people. My work illustrates a path for achieving this vision by leveraging the on-demand labor of people to fill in for components that we cannot currently automate, and by building frameworks that allow groups to do together what even expert individuals cannot do alone. A crowd-powered world may seem counter to the goals of computer science, but I believe that it is precisely by creating and deploying the systems of our dreams that will learn how to advance computer science to create the machines that will someday realize them.

For more ML Lunch talks, visit http://www.cs.cmu.edu/~learning/

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