Social Justice With AI

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Authors: Akshay Bhargava, Rakhi Singh Chouhan
Cited by: 0
References: 10

Abstract

AI is being hailed the most profound drivers of innovation and global economic growth but at the same time it elicits deep concerns with respect to social justice. These biases in AI systems which may have been encoded by historical data or faulty algorithms can perpetuate discrimination in crucial domains, such as hiring, credit allocations, policing and health care. It will require weaving fairness, transparency and accountability into all stages of developing AI. Ethical safeguards, diverse datasets and frequent audits are all critical to prevent AI decisions from mirroring existing structural inequalities. Encouraging cross-disciplinary cooperation between technologists, social scientists, policy makers and marginalized communities can help to ensure that AI future is empowering rather than of exclusion. Through establishing legal protections and ensuring equitable access to AI technologies, society can harness AI to drive fairness and inclusivity, making it a means for true social justice and not for exclusion.

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education Interdisciplinary Studies: Technology Society and Humanities

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
19–36
Publication date
8 January 2026
Document type
Book chapter