The team, dubbed AI100, attempts to track AI technologies with a method similar to how the gross domestic product tracks the U.S. economy. The index, called the AI Index, evaluates how AI stacks up against “human-level performance” in areas like speech recognition and answering questions, and considers data from academic papers, course enrollment and AI-related startups and job openings.
The AI Index found academic papers related to AI have increased nine-fold in the last 20 years and venture capital investment in AI startups has increased six-fold since 2000. AI systems’ image and speech recognition capabilities are also approaching and potentially surpassing human-level performance, according to the AI100 team.
However, despite growing recognition skills, AI still lacks the capacity for many critical thinking activities, such as finding the deeper meaning of specific information.
“AI has made truly amazing strides in the past decade … but computers still can’t exhibit the common sense or the general intelligence of even a 5-year-old,” said Yoav Shoham, PhD, an emeritus professor of computer science at Stanford University.
To access the AI Index, click here.
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