In his new book, Common Sense, the Turing Test, and the Quest for Real AI, artificial intelligence researcher Hector Levesque argues that to be maximally beneficial, AI developers will need to develop systems that can move beyond simply analyzing large quantities of data to solve problems to relying on common sense intelligence. Levesque discusses the research challenges around AI and the shortcomings of the Turing Test, in which an AI system demonstrates behavior indistinguishable from a human, which Levesque believes would only prove whether or not an AI can “fake” acting human, rather than whether or not a system is intelligent. Levesque proposes that instead, AI’s should be subject to the Winograd Schema Test, which Levesque helped develop, that tests an AI’s ability to mix knowledge and common sense.
Common Sense, the Turing Test, and the Quest for Real AI
Joshua New is a senior policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life. Follow Joshua on Twitter @Josh_A_New.
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