在人工智能研究中绘制性别和地理多样性的地图:编辑代表在领先的计算机科学期刊
Felix Busch1,2, Sarah Keller1, Christopher Rueger1
1Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.
Acta radiologica open
|November 30, 2023
概括
在顶级计算机科学和人工智能期刊的编辑角色中,女性的代表性不足. 地理差异也存在,全球北方的比例不成比例.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能 (AI) 在医疗保健中变得越来越重要,需要公正的发展.
- 人工智能的公平实施需要在科学界内得到公平的代表.
研究的目的:
- 在领先的计算机科学和人工智能期刊的学术编辑中评估性别和国家分布.
- 识别编辑委员会组成中的潜在偏见.
主要方法:
- 对75个第一季度计算机科学和人工智能期刊 (Clarivate JCR & SCImago 2022) 的横截面分析.
- 经过审查的总编辑,高级编辑和副编辑.
- 使用开源算法 (Gender GuesserTM) 确定性别.
主要成果:
- 女性占总编辑的14%,高级编辑的18%,副编辑的17%.
- 在女性的比例和SCImago期刊排名指标 (ρ = 0.329; p = .004) 之间发现了正相关性.
- 美国,英国和中国主导着编辑人口统计;澳大利亚,芬兰,爱沙尼亚,丹麦,荷兰,英国,瑞士和斯洛文尼亚的人均代表性更高.
结论:
- 在领先的计算机科学和人工智能期刊编辑委员会中存在显著的性别和地理差异.
- 在所有编辑职位上,女性的代表性不足.
- 在编辑代表性方面,全球北方和全球南方之间存在着显著的不平衡.
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