ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conference across time by computing a set of indexes. We measure diversity in terms of gender, geographic location and academia vs research centres vs industry, and consider three different actors: authors, keynote speakers and organizers. Results raise awareness on the limited diversity in the field, in all studied facets, and compared to other AI conferences. While gender diversity is relatively high, equality is far from being reached. The community is dominated by European, Asian and North American researchers, leading the rest of continents under-represented. There is also a strong absence of companies and research centres focusing on applied research and products. This study fosters discussion in the community on the need for diversity and related challenges in terms of minimizing potential biases of the developed systems to the represented groups. We intend our paper to contribute with a first analysis to consider as a monitoring tool when implementing diversity initiatives. The data collected for this study are publicly released through the European divinAI initiative.
翻译:在这项工作中,我们通过计算一套指数来监测、量化和反思美洲统计学会会议的多样性;我们衡量性别、地理位置和学术界与研究中心之间的多样性,并考虑三个不同的行为者:作者、基调发言人和组织者;在研究的所有方面和与其他大赦国际会议相比,提高了对该领域有限多样性的认识;虽然性别多样性相对较高,但平等远未实现;该共同体由欧洲、亚洲和北美研究人员主导,在代表人数不足的其余各大洲领先;还大量缺乏以应用研究和产品为重点的公司和研究中心;这一研究促使社区讨论在尽量减少发达系统对代表群体的潜在偏差方面多样性的必要性和相关挑战;我们打算我们的文件先作分析,以便在实施多样性倡议时考虑作为监测工具。为这项研究收集的数据通过欧洲DIvinAI倡议公开发布。