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Exploring trustworthy AI research with the Map of Science, part 3: Leading research institutions

Map of Science


Continuing our exploration of 18 notable trustworthy AI clusters

In their recent paper for CSET, Who Cares About Trust? Clusters of Research on Trustworthy AI, Autumn Toney and Emelia Probasco uncovered research related to trustworthy AI across 18 clusters in the Map of Science, totaling almost 30,000 recent articles. Our prior posts looked at the specific trustworthy AI concepts these clusters cover and the countries leading the research. Today, we'll wrap up our exploration with a look at the most active institutions in this critical AI research domain.

As with authoring countries, the Map of Science's detail view includes a table with the top ten authoring institutions for each cluster in the Map, based on number of recent articles:

Animation: locating the authoring institutions table in the Map of Science detail view

Based on some quick spreadsheet analysis of the top-ten tables for our 18 trustworthy AI clusters, it looks like over 100 unique institutions appear at least once. In the table below, we've listed all of the institutions that either lead a cluster, or are in the top three for multiple clusters:

It's an interesting mix - big players like Google and MIT are in the mix, but so are somewhat lesser-known institutions on multiple continents, from France's EURECOM (which leads a cluster on privacy in speech data) to Singapore's Nanyang Technological University (a top-3 institution in clusters on federated learning and neural network watermarking).

For more analysis, check out Who Cares About Trust? Clusters of Research on Trustworthy AI on CSET's website. As always, we're glad to help with your own explorations of the Map of Science - for more information or to get in touch, visit ETO's support page. 🤖

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