Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
This work addresses diversity monitoring for AI conference organizers and policymakers, but it is incremental as it builds on existing initiatives without introducing new methods.
The DivinAI project tackled the problem of measuring diversity in AI conferences by focusing on gender balance, geographical representation, and sector presence, resulting in a set of recommendations for future development based on lessons from its first year.
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.