A Hybrid Human-Machine Approach for Building Smarter Artificially Intelligent Systems

From chatbots that answer tax questions to algorithms that drive autonomous vehicles and dish out medical diagnoses, artificial intelligence undergirds many aspects of daily life. Creating smarter, more accurate systems requires a hybrid human-machine approach, according to researchers at the University of California, Irvine.

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California ,United States ,Irvine ,Gavin Kerrigan ,Mark Steyvers ,Laura Thomsonmar ,Padhraic Smyth ,Heliodoro Tejada ,University Of California ,Proceedings Of The National Academy Sciences ,Research Center ,National Science Foundation ,Irvine Initiative ,National Academy ,Machine Learning ,Data Science ,