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PCD 3/2/12 - Dan Weld, University of Washington, Human Intelligence Needs Artificial Intelligence

Terry Winograd winograd at
Sun Feb 26 12:33:52 PST 2012

Stanford Seminar on People, Computers, and Design (CS547: HCI Seminar)

March 2, 2012
12:50-2:00 pm, Gates B01

Dan Weld, University of Washington

Human Intelligence Needs Artificial Intelligence

Crowdsourcing platforms, such as Amazon Mechanical Turk, have enabled
the construction of scalable applications for tasks ranging from
product categorization and photo tagging to audio transcription and
translation. These vertical applications are typically realized with
complex, self-managing workflows that guarantee quality results. But
constructing such workflows is challenging, with a huge number of
alternative decisions for the designer to consider.

We argue the thesis that "Artificial intelligence methods can greatly
simplify the process of creating and managing complex crowdsourced
workflows." We present the design of CLOWDER, which uses machine
learning to continually re-fine models of worker performance and task
difficulty. Using these models, CLOWDER uses decision-theoretic
optimization to 1) choose between alternative workflows, 2) optimize
parameters for a workflow, 3) create personalized interfaces for
individual workers, and 4) dynamically control the workflow.
Preliminary experience suggests that these optimized workflows are
significantly more economical (and return higher quality output) than
those generated by humans.


Daniel S. Weld is Thomas J. Cable / WRF Professor of Computer Science
and Engineering at the University of Washington. After formative
education at Phillips Academy, he received bachelor's degrees in both
Computer Science and Biochemistry at Yale University in 1982. He
landed a Ph.D. from the MIT Artificial Intelligence Lab in 1988,
received a Presidential Young Investigator's award in 1989, an Office
of Naval Research Young Investigator's award in 1990, was named AAAI
Fellow in 1999 and deemed ACM Fellow in 2005. Dan is an area editor
for the Journal of the ACM, was a founding editor for the Journal of
AI Research, was guest editor for Computational Intelligence and
Artificial Intelligence, and was Program Chair for AAAI-96. Dan is an
active entrepreneur with several patents and technology licenses. In
May 1996, he co-founded Netbot Incorporated, creator of Jango Shopping
Search and later acquired by Excite. In October 1998, Dan co-founded
AdRelevance, a revolutionary monitoring service for internet
advertising which was acquired by Media Metrix. In June 1999, Dan
co-founded data integration company Nimble Technology which was
acquired by the Actuate Corporation. In January 2001, Dan joined the
Madrona Venture Group as a Venture Partner and member of the Technical
Advisory Board.

NEXT WEEK: March 9, 2012
Judd Antin, Yahoo
Motivation in the Age of Online Participation

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