Intelligence Quotient and Intelligence Grade of Artificial Intelligence
This work addresses the problem of assessing and ranking AI threats for researchers and policymakers, but it appears incremental as it builds on existing intelligence models without introducing a new paradigm.
The study proposes a standard intelligence model to unify AI and human characteristics across four knowledge aspects, and uses it to test and rank the intelligence quotient of systems like humans, Google, and Siri, concluding that AlphaGo belongs to the third grade of seven defined grades.
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.