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

TL;DR

The paper discusses the DivinAI project, which monitors diversity indicators in AI conferences, highlighting lessons learned and proposing future challenges to improve diversity and representation.

Contribution

It presents the initial achievements of the DivinAI project and offers recommendations for enhancing diversity monitoring in AI conferences.

Findings

Initial diversity metrics collected for AI conferences

Identified challenges in data collection and analysis

Proposed strategies for improving diversity monitoring

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.