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Date of event: Thursday, June 19, 2024

Where: Online

Description: 

DivinAI (Diversity in Artificial Intelligence) is an collaborative initiative led by the HUMAINT team at the European Commission’s Joint Research Centre. The goal of divinAI is to research and develop a set of diversity indicators, related to Artificial Intelligence developments, with special focus on gender balance, geographical representation and presence of academia vs companies. The previous indicators will be combined in order to assign one general diversity indicator to each big AI event. This can be useful to compare how different AI conferences care about minorities, and this might lead in raising interest for improving this indicator.

Societal impact:

The aforementioned indicators aim to be informative about the following aspects:

1. Visibility of minorities in AI: this item will be measured considering the presence of minorities invited as keynotes in AI big events.
2. Minorities authorship in AI research contributions: this item will be measured by considering the gender/geographic/business profile of authors in AI conference proceedings.
3. Minorities presence in AI organisation committees:  this item will be measured by considering the gender/geographic/business balance in the committees of AI conferences

Related publications:

• Porcaro, L., Vinagre, J., Frau, P., Hupont, I., & Gómez, E. (2023). Behind Recommender Systems: the Geography of the ACM RecSys Community. In 6th FAccTRec Workshop on Responsible Recommendation (RecSys 2023).
• Hupont, I., Tolan, S., Frau, P., Porcaro, L., & Gomez, E. (2023). Measuring and fostering diversity in Affective Computing research. IEEE Transactions on Affective Computing.
• Hupont, I., Gómez, E., Tolan, S., Porcaro, L., & Freire, A. (2022). Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project. AAAI 2022 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI).
• Hupont, I., Tolan, S., Freire, A., Porcaro, L., Estevez, S., & Gómez, E. (2021, September). How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. In 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)
• Freire, A., Porcaro, L., & Gómez, E. (2021). Measuring diversity of artificial intelligence conferences. In AAAI 2021 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI).