We live in unprecedented times for women in sport. In the USA, the 2024 collegiate basketball finals marked the first time in broadcast history that viewership of the women’s championship game was higher than the men’s.1 Internationally, the 2024 Paris Games were the most gender equal in Olympic history in terms of numerical parity on the playing field.2 Despite such progress, gender inequities in sport persist, which social scientists partially attribute to the harmful effects of stereotypical and often sexualised representations of women in sports media.3 As generative artificial intelligence (GAI) is increasingly leveraged for visual communication of sport, the risk of amplifying gender stereotypes is profound.4 Recently, authors of this editorial (J.M. and M.M.) created an image for social media use to promote findings from a study on inequities in training environments of elite women golfers.5 A GAI tool was prompted to ‘provide an image of women golfers.’ Dissatisfied with the initial stereotypical result, a second prompt was given: ‘show a more diverse representation of body types and ethnicity.’ There is much to deconstruct in the output (figure 1); at …

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数字镜子：生成式人工智能如何反映和放大性别偏见


我们生活在女性体育界前所未有的时代。在美国，2024 年大学篮球决赛标志着女子冠军赛的收视率在广播历史上首次高于男子。在国际上，2024 年巴黎奥运会在赛场上的人数平等方面是奥运会历史上性别最平等的一届。尽管取得了这些进步，但体育界的性别不平等仍然存在。 社会科学家将其部分归因于体育媒体中对女性的刻板印象和通常性化的形象的有害影响。3 随着生成式人工智能 （GAI） 越来越多地用于体育的视觉交流，放大性别刻板印象的风险是深远的。4 最近，这篇社论的作者（J.M. 和 M.M.）创建了一个供社交媒体使用的图片，以宣传一项关于精英女子高尔夫球手训练环境中不平等的研究结果。GAI 工具被提示“提供女子高尔夫球手的图像”。由于对最初的刻板印象结果不满意，给出了第二个提示：“表现出更多样化的体型和种族表现。输出中有很多需要解构的地方（图 1）;在。。。