Today, we'll continue using the Map of Science to explore trustworthy AI research, using Autumn Toney and Emelia Probasco's CSET paper Who Cares About Trust? Clusters of Research on Trustworthy AI as our jumping-off point. To recap, Toney and Probasco found 18 clusters in the Map with a high concentration of research related to trustworthy AI. In our first post, we saw how these fast-growing clusters include about 30,000 articles in total over the last five years and emphasize concepts including privacy protection, explainability, robustness, fairness, and gender bias.
In this post, we'll see which countries are leading the charge. The Map of Science's detail view includes a table with the top ten authoring countries for each cluster in the Map:
If you have a list of specific clusters, like Toney and Probasco's, it's easy to copy the clusters' top country tables into a spreadsheet for some quick-and-dirty analysis. (If you're instead looking for the top publishing countries across all 18 clusters as a whole, that is even easier - just use the Map's built-in summary view.) Here are the countries that are leading or prominent (top-3) producers of research over the last five years in our 18 trustworthy AI-related clusters:
It's the United States and China in front. Other leading countries include India, Australia, Japan and several European countries. In fact, at least one European country (including the UK) is in the top three countries for 13 of the 18 clusters, putting Europe as a whole in the top ranks with China and the United States.
Stay tuned for our final post in this miniseries, where we'll look at the leading research institutions across Toney and Probasco's trustworthy AI clusters. 🤖