Intelligence Quotient and Intelligence Grade of Artificial Intelligence
Feng Liua b✉, Yong Shia b c d✉, Ying Liud✉
- aResearch Center on Fictitious Economy and Data Science, The Chinese Academy of Sciences, Beijing, 100190, China
- bThe Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, 100190, China
- cCollege of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, 68182, USA
- dSchool of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China
- ✉Corresponding author
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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.
TL;DRA “standard intelligence model” is proposed that unifies AI and human characteristics in terms of four aspects of knowledge, i.e., input, output, mastery, and creation, and concludes that Google’s AlphaGo belongs to the third grade. (Semantic Scholar)