Can artificial intelligence enable versus inhibit gender equality for the Sustainable Development Goals? What scientists know so far

两性平等 性别偏见 可持续发展 将性别观点纳入主流 有可能 政治学 性别平等 不平等 祝福 性别不平等 性别多样性 审计 心理学 社会心理学 社会学 性别研究 公司治理 管理 经济 法学 数学 地理 数学分析 考古 心理治疗师
作者
Xin Qin,Kai Chi Yam,Z. Yu,Yanbin Cheng,Chen Chen
标识
DOI:10.31234/osf.io/5cfwk
摘要

Gender equality is a fundamental human right and is vital for the sustainable development of our world. However, progress toward it is disappointingly slow. The widespread use of artificial intelligence (AI) has important implications and holds promise to reduce gender inequality. However, although numerous studies have offered insights about the different impacts of various types of AI in many domains, we still lack a systematic understanding of AI’s impacts on gender equality. Based on United Nations’ Sustainable Development Goals, we systematically review current research and find that AI acts as an enabler (54%) and as an inhibitor (57%) of gender equality via three main mechanisms, respectively (including 13 vs. 6 specific mechanisms, respectively). That is, AI could positively (vs. negatively) influence gender equality through: (1) reducing (vs. perpetuating) gender stereotypes by optimizing current algorithms and products, services, and practices (vs. by biased designs and datasets); (2) providing gender equality (vs. gender biased) information; and (3) replacing women (vs. aggravating unfriendliness toward women) in unfriendly conditions. That is, AI is a mixed blessing: while we can use it to enable gender equality, we should be very cautious about its role in inhibiting gender equality. Based on our review, we identify several directions for future research to provide a more integrative picture of AI’s impacts on gender equality. In practice, governments and institutions need to audit and guide the development and application of AI to promote gender equality.
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