AI and Gender Inequality: Challenges, Opportunities, and Pathways to Equity

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Author(s): Shama Mushtaq (University of Agriculture, Faisalabad, Pakistan), Danial Babar (University of Agriculture, Faisalabad, Pakistan), Naveed Farah (University of Agriculture, Faisalabad, Pakistan)and Maryam Rehman (University of Agriculture, Faisalabad, Pakistan)
Copyright: 2025
Pages: 20
Source title: Social System Reforms to Achieve Global Sustainability
Source Author(s)/Editor(s): Mohamad Mokdad (Independent Researcher, Lebanon)
DOI: 10.4018/979-8-3373-1280-4.ch002

Keywords: Environment & Agriculture / Information Science Reference / Socio-Economic Development / Sustainable Development

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Abstract

AI is not equally beneficial to all genders, as bias is reinforced through flawed algorithms, lack of diversity, and unequal access. This chapter investigates how both deepening and addressing gender inequality can be achieved through the use of artificial intelligence. AI is critiqued by a variety of feminists who showed how AI works against marginalized women, such as in hiring, healthcare, and facial recognition. The global digital divide further hinders women's ability to access the AI advances. First, it is biased hiring tools, discriminatory facial recognition and labor market polarization where AI automation poses a threat to jobs that tend to be held by women. However, AI also offers opportunities for equity through inclusive design, gender-sensitive policies, and grassroots initiatives. Feminist Tech movements, bias mitigation tools, and gender-responsive regulations may hamper the digital divide. The chapter argues that intent from the start is required for AI equity governance to avoid exacerbating marginalization and help build a more just technological future.

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AI and Gender Inequality: Challenges, Opportunities, and Pathways to Equity

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