Human Computation Augmenting Artificial Intelligence

Wired, via @blustr

“People are good at figuring out what’s attractive, and computers are good at quickly searching and finding,” von Ahn says. “You put them together, and bang!”

This is “human computation,” the art of using massive groups of networked human minds to solve problems that computers cannot. Ask a machine to point to a picture of a bird or pick out a particular voice in a crowd, and it usually fails. But even the most dim-witted human can do this easily. Von Ahn has realized that our normal view of the human-computer relationship can be inverted. Most of us assume computers make people smarter. He sees people as a way to make computers smarter.

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This entry was written by enjoying autumn, posted on January 14, 2009 at 6:21 pm.

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One Comment

  1. Timothy Obama
    Posted January 14, 2009 at 11:56 pm | Permalink

    http://biocomputer.info/

    Some day fabricated neural networks will potentially become genuinely self-organizing and self-learning, but thus far this goal remains elusive. Most networks rely on supervised knowledge. Their education process is guided by human judgment concerning what the “right answers” are to a set of education cases. The network tries to reproduce human judgment - first for the education cases and then for cases which have not been analyzed by humans. It is relatively easy to watch if the network is succeeding in replicating human judgment concerning the test cases and additionally practical with respect to spot checking the alternative cases. However, if the “right answers” are not known, then it is tough to evaluate the output of the simulated neural network.

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