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

arXiv: https://arxiv.org/abs/2203.01657 · HTML: https://mlsanity.com/paper/2203.01657/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 18 references that are in the map.
- First posted on arXiv 3 Mar 2022.

## Builds on (most cited first, 2 of 2)

- [Measuring Diversity of Artificial Intelligence Conferences](https://mlsanity.com/paper/2001.07038/) (2020)
- [How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research](https://mlsanity.com/paper/2109.07907/) (2021)

## Abstract (arXiv)

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.