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Intelligence Quotient and Intelligence Grade of Artificial Intelligence

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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.

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Acknowledgements

This work has been partially supported by grants from National Natural Science Foundation of China (No. 91546201, No. 71331005).

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Authors and Affiliations

  1. Research Center on Fictitious Economy and Data Science, The Chinese Academy of Sciences, Beijing, 100190, China

    Feng Liu & Yong Shi

  2. The Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, 100190, China

    Feng Liu & Yong Shi

  3. College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, 68182, USA

    Yong Shi

  4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China

    Yong Shi & Ying Liu

Authors
  1. Feng Liu
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  2. Yong Shi
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  3. Ying Liu
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Correspondence to Feng Liu, Yong Shi or Ying Liu.

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Liu, F., Shi, Y. & Liu, Y. Intelligence Quotient and Intelligence Grade of Artificial Intelligence. Ann. Data. Sci. 4, 179–191 (2017). https://doi.org/10.1007/s40745-017-0109-0

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  • DOI: https://doi.org/10.1007/s40745-017-0109-0

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