Intelligence Quotient and Intelligence Grade of Artificial Intelligence

Feng Liu (), Yong Shi () and Ying Liu ()
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Feng Liu: The Chinese Academy of Sciences
Yong Shi: The Chinese Academy of Sciences
Ying Liu: University of Chinese Academy of Sciences

Annals of Data Science, 2017, vol. 4, issue 2, No 2, 179-191

Abstract: Abstract Although artificial intelligence (AI) is currently one of the most interesting areas in scientific research, the potential threats posed by emerging AI systems remain a source of persistent controversy. To address the issue of AI threat,this study proposes a “standard intelligence model” that unifies AI and human characteristics in terms of four aspects of knowledge, i.e., input, output, mastery, and creation. Using this model, we observe three challenges, namely, expanding of the von Neumann architecture; testing and ranking the intelligence quotient (IQ) of naturally and artificially intelligent systems, including humans, Google, Microsoft’s Bing, Baidu, and Siri; and finally, the dividing of artificially intelligent systems into seven grades from robots to Google Brain. Based on this, we conclude that Google’s AlphaGo belongs to the third grade.

Keywords: Standard intelligence model; Intelligence quotient of artificial intelligence; Intelligence grades (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s40745-017-0109-0

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