Quantitative Analysis of Whether Machine Intelligence Can Surpass Human Intelligence
Feng Liu, Yong Shi
TL;DR
This paper introduces a universal IQ test to compare machine and human intelligence, categorizing both into four main groups, and evaluates 50 search engines and 150 individuals to rank their intelligence levels.
Contribution
It proposes a new universal IQ testing method applicable to both humans and machines, enabling direct comparison and ranking.
Findings
Search engines' IQ scores vary widely
Humans outperform machines in certain categories
The ranking list provides a benchmark for AI progress
Abstract
Whether the machine intelligence can surpass the human intelligence is a controversial issue. On the basis of traditional IQ, this article presents the Universal IQ test method suitable for both the machine intelligence and the human intelligence. With the method, machine and human intelligences were divided into 4 major categories and 15 subcategories. A total of 50 search engines across the world and 150 persons at different ages were subject to the relevant test. And then, the Universal IQ ranking list of 2014 for the test objects was obtained.
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Taxonomy
TopicsCognitive Abilities and Testing · Health, Environment, Cognitive Aging