Three IQs of AI Systems and their Testing Methods
This addresses the need for standardized evaluation of AI systems for researchers and developers, but it appears incremental as it builds on existing frameworks.
The paper tackles the problem of evaluating AI intelligence levels by proposing three IQ metrics: General IQ to compare AI with human intelligence, and Service IQ and Value IQ to assess how well AI products serve humans. It introduces quantitative methods based on the standard intelligence system and extended Von Neumann architecture.
The rapid development of artificial intelligence has brought the artificial intelligence threat theory as well as the problem about how to evaluate the intelligence level of intelligent products. Both need to find a quantitative method to evaluate the intelligence level of intelligence systems, including human intelligence. Based on the standard intelligence system and the extended Von Neumann architecture, this paper proposes General IQ, Service IQ and Value IQ evaluation methods for intelligence systems, depending on different evaluation purposes. Among them, the General IQ of intelligence systems is to answer the question of whether the artificial intelligence can surpass the human intelligence, which is reflected in putting the intelligence systems on an equal status and conducting the unified evaluation. The Service IQ and Value IQ of intelligence systems are used to answer the question of how the intelligent products can better serve the human, reflecting the intelligence and required cost of each intelligence system as a product in the process of serving human.