Women in AI: Barriers and Solutions

M. Roopaei, Justine Horst, Emilee Klaas, Gwen Foster, Tammy J. Salmon-Stephens, Jodean E. Grunow
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引用次数: 5

Abstract

The inclusion of women into the development and implementation of artificial intelligence and machine learning in the world is critical. The underrepresentation and lack of representation of women results in lower quality AI products. The AI consumer group is very diverse and the lack of diversity within the AI leadership and workforce creates a crisis within the AI industry. Additionally, because AI is fast-paced and has a high societal impact, not addressing this disparity has the potential to increase stereotypes, underrepresentation, and discrimination in career fields everywhere. This paper discusses the importance of women in the AI field, the barriers that they face, and a few solutions to eliminate gender-discrimination and gender-inequality for women of all ages. Women may experience increased discrimination in fields of underrepresentation, and this can discourage their desire to purse these career paths. The workplace needs to be aware of these struggles, provide resources for both men and women to address this, and invest in support for women to encourage their participation. As an emerging industry, the AI industry has an opportunity to address this gender gap before it becomes more pervasive and ingrained into the culture of AI. Together, we can have a significant impact on the future of AI, the community, and the products that consumers use.
人工智能中的女性:障碍和解决方案
让女性参与世界人工智能和机器学习的开发和实施至关重要。女性代表性不足和缺乏代表性导致人工智能产品质量较低。人工智能消费者群体非常多样化,人工智能领导层和劳动力内部缺乏多样性,这在人工智能行业内造成了危机。此外,由于人工智能是快节奏的,具有很高的社会影响,如果不解决这种差距,就有可能增加各地职业领域的刻板印象、代表性不足和歧视。本文讨论了女性在人工智能领域的重要性,她们面临的障碍,以及消除所有年龄段女性性别歧视和性别不平等的一些解决方案。在代表性不足的领域,女性可能会受到更多的歧视,这可能会打消她们追求这些职业道路的愿望。工作场所需要意识到这些挣扎,为男性和女性提供资源来解决这个问题,并投资支持女性以鼓励她们参与。作为一个新兴行业,人工智能行业有机会在性别差距变得更加普遍和根深蒂固之前解决这一问题。齐心协力,我们可以对人工智能、社区和消费者使用的产品的未来产生重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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