Global AI Governance for Gender Equity: Proposing Policy Frameworks for Responsible AI Development and Deployment

Authors

  • Pallavi, Jastinder Kaur

Keywords:

AI governance, gender equity, responsible AI, AI policy frameworks, algorithmic bias, inclusive AI, global AI ethics.

Abstract

The rapid advancement and global adoption of artificial intelligence (AI) technologies have broughttransformative potential across sectors, but they have also intensified concerns about equity, fairness, andinclusivity—particularly in relation to gender. This review paper critically examines the current landscape ofglobal AI governance through the lens of gender equity and proposes a set of policy frameworks aimed at ensuringresponsible, inclusive, and equitable AI development and deployment. Existing governance models—such asthose developed by the OECD,

References

Lima, R. M. de, Pisker, B., & Corrêa, V. S. (2023). Gender bias in Artificial Intelligence: A systematic review of the literature. Journal of Telecommunications and the Digital Economy, 11(2), 8–30. https://doi.org/10.18080/jtde.v11n2.690

Kotek, H., Dockum, R., & Sun, D. Q. (2023). Gender bias and stereotypes in large language models. arXiv. https://arxiv.org/abs/2308.14921

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Published

2024-08-20

How to Cite

Pallavi, Jastinder Kaur. (2024). Global AI Governance for Gender Equity: Proposing Policy Frameworks for Responsible AI Development and Deployment . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6558–6569. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3843

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Section

Articles