Research Scholar at Jamia Hamdard University, New Delhi, India
Artificial Intelligence (AI) is increasingly shaping the contours of modern society, offering both transformative opportunities and complex challenges in the realm of gender equality. As AI technologies become embedded in governance, education, healthcare, employment, and digital platforms, they hold the potential to dismantle historical biases and promote inclusive development. From gender-sensitive data analysis to intelligent systems designed for equitable recruitment and healthcare diagnostics, AI can serve as a powerful tool in closing gender gaps. However, this promise is often undermined by algorithmic bias, lack of diversity in AI development teams, and opaque decision-making processes that may replicate or exacerbate existing inequalities. This research explores the dual role of AI in promoting and potentially hindering gender equality through a multidisciplinary lens that integrates human rights, ethics, and technology studies. It investigates how AI systems can be designed to advance the rights of women and marginalized gender groups while highlighting risks such as surveillance, digital discrimination, and the exclusion of non-binary identities. Case studies from sectors like criminal justice, online content moderation, and finance are used to demonstrate both progressive applications and harmful outcomes of AI deployment. The paper also critically analyzes the responsibilities of governments, tech corporations, and international organizations in ensuring that AI development aligns with gender justice frameworks and international human rights standards. Policy recommendations are also offered to promote accountability, transparency, and participatory AI governance. The overarching aim of this paper is to provide a roadmap for harnessing AI ethically to support gender equality, while mitigating its associated risks through legal safeguards and inclusive innovation.
Research Paper
International Journal of Law Management and Humanities, Volume 8, Issue 6, Page 563 - 581
DOI: https://doij.org/10.10000/IJLMH.1111094
This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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