First AI Index to Track the State of Artificial Intelligence

A Stanford-led team has launched the first index to track the state of artificial intelligence and measure technological progress in the same way the GDP and the S&P 500 index take the pulse of the U.S. economy and stock market.


The term Artificial Intelligence (AI) was first introduced in 1956, science fiction fantasy has progressed to the very real prospect. In an effort to track the progress of this emerging field, a Stanford-led group of leading AI thinkers, AI100 has launched an AI index that will provide a comprehensive baseline on the state of artificial intelligence.

In order to regularly supply a review of AI, a more constant arrangement of gathered measurements would be inconceivably helpful.

Russ Altman, a professor of bioengineering and the faculty director of AI100 said, “We were very happy to seed the AI Index, which will inform the AI100 as we move forward.”

This AI index can tracks and measures almost 18 free vectors in the scholarly world, industry, open-source programming and open enthusiasm, in addition to specialized evaluations of advance toward what the creators call “human-level execution” in territories, for example, discourse acknowledgment, question-noting, and computer vision – calculations that can distinguish items and exercises in 2D pictures.

Particular measurements in the record incorporate assessments of scholastic papers distributed, course enlistment, AI-related new businesses, employment opportunities, seek term recurrence and media notices, among others.

Yoav Shoham, professor emeritus of computer science said, “In many ways, we are flying blind in our discussions about Artificial Intelligence and lack the data we need to credibly evaluate activity. The goal of the AI Index is to provide a fact-based measuring stick against which we can chart progress and fuel a deeper conversation about the future of the field.”

Although, the AI index is the first index to track either scientific or technological progress. It will succeed only if it becomes a community effort.

Since 2000, the number of active AI startups has increased 14-fold. In the scholarly community, distributing in AI has expanded a correspondingly amazing nine times over the most recent 20 years while course enlistment has taken off. Enlistment in the early on AI-related machine adapting course at Stanford, for example, has grown 45-crease over the most recent 30 years.

Scientists noted, “AI systems have excelled in such real-world applications as object detection, the ability to understand and answer questions and classification of photographic images of skin cancer cells.”

“Still, the report will need a greater international presence as well as a greater diversity of voices.”

As far as human-level execution, the AI Index suggests that in some ways AI has already arrived. Its applications include game-playing applications like chess, the Jeopardy! a game show, etc.


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