School of Social Work Faculty Publications
Document Type
Book Chapter
Publication Date
2026
Abstract
Artificial Intelligence and large data machine learning are transforming many areas, including healthcare, economic, political, and educational social institutions, at their best. Artificial intelligence can also be offered the moral and legal potential to safeguard human rights and social justice in society. For instance, human rights organizations scan public domain images for evidence of abuse, or software uses adversarial techniques to reduce bias in training data. At best, some organizations and businesses are tackling these challenges in a proactive manner, looking for methods to make sure they avoid or identify concerns before they arise; for others, this may be a last-ditch effort to solve issues that have already surfaced. The chapter will argue for a comprehensive framework that connects human rights (what society owes individuals), social justice (why fairness matters), and social safeguarding (how protection is achieved). Study will also assess how digital infrastructures, data governance, and machine learning systems reproduce current social hierarchies if left unchecked.
Recommended Citation
Pasupuleti, S., Yadav, U., & Srinivasa, S. R. (2026). Convergence of Social Justice, Human Rights, and Artificial Intelligence (AI). In S. Pasupuleti & U. Yadav (Eds.), Safeguarding Social Justice and Human Rights in the Age of AI (pp. 1-18). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-6598-5.ch001
Publication Title
Safeguarding Social Justice and Human Rights in the Age of AI
DOI
10.4018/979-8-3373-6598-5.ch001
Comments
Copyright © 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.