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Gender Inequality in the Age of AI: Predictions, Perspectives, and Policy Recommendations

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  • Yu, Chen

Abstract

This article, "Gender Inequality in the Age of AI: Predictions, Perspectives, and Policy Recommendations," offers a comprehensive examination of the potential effects of artificial intelligence (AI) on gender inequality. It delves into the various ways AI could influence gender dynamics in the workforce, educational access, and the balance between work and caregiving responsibilities. By analyzing historical and societal norms, structural barriers, intersectionality, and the role of technology, the article provides a nuanced understanding of the root causes of gender inequality. It then presents predictions on how AI may both exacerbate and mitigate these disparities in the future. The potential benefits of AI for gender equality are weighed against the risks and challenges it poses, leading to a discussion on the necessity of ethical AI development and deployment. The article concludes with a set of policy recommendations designed to promote diversity and inclusion, establish ethical guidelines for AI systems, and invest in education. These recommendations aim to guide stakeholders towards a future where AI contributes positively to gender equality rather than reinforcing existing inequities.

Suggested Citation

  • Yu, Chen, 2024. "Gender Inequality in the Age of AI: Predictions, Perspectives, and Policy Recommendations," OSF Preprints 5zrh9, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:5zrh9
    DOI: 10.31219/osf.io/5zrh9
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