Measuring Diversity of Artificial Intelligence Conferences

被引:0
作者
Freire, Ana [1 ]
Porcaro, Lorenzo [1 ]
Gomez, Emilia [2 ]
机构
[1] Univ Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain
[2] European Commiss, Joint Res Ctr, Edificio Expo,Calle Inca Garcilaso 3, Seville 41092, Spain
来源
ARTIFICIAL INTELLIGENCE DIVERSITY, BELONGING, EQUITY, AND INCLUSION, VOL 142 | 2021年 / 142卷
基金
欧盟地平线“2020”;
关键词
Diversity; Artificial Intelligence; Diversity Indicators; Gender;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The lack of diversity of the Artificial Intelligence (AI) field is nowadays a concern, and several initiatives such as funding schemes and mentoring programs have been designed to overcome it. However, there is no indication on how these initiatives actually impact AI diversity in the short and long term. This work studies the concept of diversity in this particular context and proposes a small set of diversity indicators (i.e. indexes) of AI scientific events. These indicators are designed to quantify the diversity of the AI field and monitor its evolution. We consider diversity in terms of gender, geographical location and business (understood as the presence of academia versus industry). We compute these indicators for the different communities of a conference: authors, keynote speakers and organizing committee. From these components we compute a summarized diversity indicator for each AI event. We evaluate the proposed indexes for a set of recent major AI conferences and we discuss their values and limitations.
引用
收藏
页码:39 / 50
页数:12
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