Intelligence Quotient and Intelligence Grade of Artificial Intelligence
September 29, 2017 Β· Declared Dead Β· π Annals of Data Science
"No code URL or promise found in abstract"
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Authors
Feng Liu, Yong Shi, Ying Liu
arXiv ID
1709.10242
Category
cs.AI: Artificial Intelligence
Citations
39
Venue
Annals of Data Science
Last Checked
4 months ago
Abstract
Although artificial intelligence 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 of naturally and artificially intelligent systems, including humans, Google, 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 AlphaGo belongs to the third grade.
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