Anyone in the industry or going to prominent Artificial Intelligence conferences can tell you that a gender imbalance exists, but we felt more rigorous research was important to drive the conversation forward and accelerate correcting this imbalance. As a follow up to The Global AI Talent Pool Report on jfgagne.ai released in February, we worked with WIRED who was also interested in looking more deeply at the state of diversity in the AI expert talent pool. For the article, we worked in collaboration with Tom Simonite of WIRED to delve further into the research by adding the dimension of gender and country to the original report’s data.
In our study, we focused on the 4000 researchers who have been published at the leading conferences NIPS, ICML, or ICLR (see the second half of this post for our methodology).The following graph lays out our results: