Using Crowd Agents to Create Deployable Intelligent Systems


August 15, 2013


Despite advances in Artificial Intelligence, fully autonomous intelligent systems are still out of the reach of current technology. Recently however, crowdsourcing has been shown to be an effective means of completing tasks AI alone cannot yet handle. This talk will describe recent work on real-time continuous crowdsourcing systems powered by the “Crowd Agent” framework, which we introduced to enable human intelligence to power intelligent systems capable of interacting with users in real-world settings. I will also describe how it is possible to use Crowd Agents as a scaffold for deployable AI systems, taking advantage of the strengths of both human and machine contributors. I will then discuss my work at MSR on potential privacy and security threats to interactive crowd-powered systems, and how privacy can be maintained by pre-filtering content using the crowd itself.


Walter Lasecki

Walter S. Lasecki is a Computer Science Ph.D. student at the University of Rochester. He creates interactive intelligent systems that are robust enough to be used in real-world settings by combining both human and machine input. Mr. Lasecki received a B.S. in Computer Science and Mathematics from Virginia Tech in 2010, and a M.S. from the University of Rochester in 2011. He was named a Microsoft Research Ph.D. Fellow in 2013, and is currently an intern at Microsoft Research.