Estimating the Gender Ratio of AI Researchers Around the World

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 <a href="http://www.jfgagne.ai/talent/" rel="noopener ugc nofollow" target="_blank">The Global AI Talent Pool Report</a> on <a href="http://jfgagne.ai/" rel="noopener ugc nofollow" target="_blank">jfgagne.ai</a> 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, <a href="http://www.wired.com/story/artificial-intelligence-researchers-gender-imbalance" rel="noopener ugc nofollow" target="_blank">we worked in collaboration with Tom Simonite of WIRED to delve further into the research</a> 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: <a href="https://medium.com/element-ai-research-lab/estimating-the-gender-ratio-of-ai-researchers-around-the-world-81d2b8dbe9c3">Website</a>