On Crowd sourcing to train cyber A.I.
When will we meet A.I.? When we are unable to tell the difference between human online interaction and its mimicry. What will we think about A.I. when our experience of interfacing with it introduces what appears to be novelty and innovation?
Intelligence is sometimes acquired through brute force. Uncanny imitation or clever bio mimicry appears to be identical to its genuine counterpart. Some methods or processes are still too difficult or just too inefficient for available resources for a computational algorithm. An algorithm can easily and quickly sort and re-arrange what is given to it but it can not easily recognize, beauty, morality, create valuable novelty or innovate artistic harmony.
Online crowd sourcing provides each person with an interactive interface. A problem or task is presented to be accomplished or solved by the participant. These problems can be embeded with in a game or another context to make the experience more appealing. As problems are solved a variation or a more difficult problem may be introduced to the participant.
The resulting solutions are collected and compared to a multitude of other identical or similar problems or tasks. More difficult tasks include proposing sub system goals or even designing the project. The design of tasks and the comparison and analysis of results can also be distributed to the multitude of participants.
The advantage of crowd sourcing for training cyber A.I. is anonymity. There appears to be no author or owner of the results. Crowd sourcing can be used in the discovery and library of its uses, in its valuable exploitation. When the tasks are specifically designed for discovering human intelligence, the results may be more valuable than the design that sought to illicit it.
There is no random or chaos, only the inability to recognize its pattern.
See also Ancient Mishkan Sanctuary mediated between the ground, the crowd and the cloud?
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Friday, October 30, 2009 at 9:22 AM
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