With all the talk of competition between the US and China to dominate AI progress, it turns out that researchers in both countries are working together. A lot.
A new report from the Stanford University Institute for Human-Centered Artificial Intelligence on the global state of AI research and investment says that despite the fact that many AI researchers worldwide work together, the largest number of cross-country AI research and development collaborations between 2010 and 2021 were among people from the US and China working together.
“Even with COVID and issues related to cooperation between countries as affected by the previous administration, cooperation between institutions and different countries seems to continue,” said Ray Perrault, co-chair of Stanford’s AI Index Steering Committee and a computer scientist at SRI International. , said Protocol last week. “Not much shows that either of these phenomena had a large dent in cooperation in the countries.”
To determine what AI cross-determination looks like, Stanford researchers evaluated AI-related research publications such as academic papers and industry-related research.
They note that AI work between people in the US and China, as represented by published research that has far exceeded that of cooperation between the US and other countries, as well as among other countries excluding the US. In fact, Stanford researchers found that US China AI collaboration produced 2.7 times more publications than produced by AI work between the UK and China, the second most fruitful partner group in AI research.
Still, after steadily increasing fivefold since 2010, the number of US-China AI research partnerships between 2020 and 2021 dropped from more than 10,000 publications to 9,660.
Other top AI partnerships rank in order of the number of research publications they have produced, arising from teams in the US and UK; China and Australia; and the USA and Germany, Canada, Australia and France respectively.
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