Towards Rights-Respecting Innovation: A Human Rights-Based Approach to Global AI Governance

Jaspreet Kaur

Research Scholar, School of Law, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India

Dr. Rashmi Gupta

Assistant Professor, School of Law, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India

Dr. Anjali Sharma

Assistant Professor, School of Law, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India

DOI :

Keywords:

Accountability, Artificial Intelligence (AI), digital rights, Ethical Innovation, Global Governance;, Human Rights-Based Approach, Participatory Governance;, Social Equity; International Law, Transparency

Abstract

As artificial intelligence (AI) technologies continue to revolutionize communities throughout the globe, there is a growing demand for human rights-based governance solutions. With a focus on incorporating fundamental rights principles such as equality, accountability, transparency, and dignity into the development, use, and regulation of AI systems, this paper promotes a human rights-based approach to global AI governance. The paper critically analyzes present governance models and finds important inadequacies that run the danger of sustaining socioeconomic injustices, privacy abuses, and discrimination. It does this by drawing on multidisciplinary knowledge and international legal norms. The study offers a
thorough framework that emphasizes cross-border collaboration, enforced accountability procedures, and participatory decision-making to guarantee AI advancements are in line with universal human rights standards. Global governance can guide AI development toward fair, moral, and inclusive results by encouraging rights-respecting innovation. This will eventually strengthen the rule of law and safeguard disadvantaged groups in the digital age.



Published

2025-11-18

How to Cite

Jaspreet Kaur , Dr. Rashmi ,Towards Rights-Respecting Innovation: A Human Rights-Based Approach to Global AI Governance , International Journal of Advanced and Applied Sciences, 12(11) 2025, Pages: 247-267

ISSUE

2025 Volume 12, Issue 11 (November) (2025)