Intelligence Quotient and Intelligence Grade of Artificial Intelligence
Feng Liu, Yong Shi, Ying Liu

TL;DR
This paper proposes a unified intelligence model for AI and humans, assesses AI systems' intelligence quotients, and classifies AI into seven grades, highlighting AlphaGo as a third-grade AI.
Contribution
It introduces a standard intelligence model unifying AI and human traits and classifies AI systems into a seven-grade hierarchy based on intelligence assessment.
Findings
AlphaGo is classified as a third-grade AI.
The model tests and ranks intelligence quotients of various AI systems.
Seven grades of AI are proposed from robots to Google Brain.
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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