Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project

2022/03/03 by Isabelle Hupont, Hupont, Isabelle, Emilia Gomez +10
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Conferences and Exhibitions Management #FOS: Computer and information sciences #Innovation Policy and R&D #cs.AI

paper · pdf · doi:10.48550/arxiv.2203.01657

5 pages, 3 figures

arxiv created 2022/03/03 · openalex publication_date 2022/03/03 · arxiv updated 2022/03/04 · openalex created_date 2022/04/03 · openalex updated_date 2026/07/28

Abstract

DivinAI is an open and collaborative initiative promoted by the European Commission's Joint Research Centre to measure and monitor diversity indicators related to AI conferences, with special focus on gender balance, geographical representation, and presence of academia vs companies. This paper summarizes the main achievements and lessons learnt during the first year of life of the DivinAI project, and proposes a set of recommendations for its further development and maintenance by the AI community.

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