Home → Magazine Archive → September 2014 (Vol. 57, No. 9) → Exploratory Engineering in Artificial Intelligence → Abstract

Exploratory Engineering in Artificial Intelligence

By Luke Muehlhauser, Bill Hibbard

Communications of the ACM, Vol. 57 No. 9, Pages 32-34

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We regularly see examples of new artificial intelligence (AI) capabilities. Google's self-driving car has safely traversed thousands of miles. IBM's Watson beat the "Jeopardy!" champions, and Deep Blue beat the chess champion. Boston Dynamics' Big Dog can walk over uneven terrain and right itself when it falls over. From many angles, software can recognize faces as well as people can.

As their capabilities improve, AI systems will become increasingly independent of humans. We will be no more able to monitor their decisions than we are now able to check all the math done by today's computers. No doubt such automation will produce tremendous economic value, but will we be able to trust these advanced autonomous systems with so much capability?


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this is the field where we can have more opportunities to achieve many good results and it is a use full area of computer science.it requires more and more research .

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