Ensuring Equity and Mitigating Harm in AI (Fairness and Bias)
- Title
- Ensuring Equity and Mitigating Harm in AI (Fairness and Bias)
- Creator
- Bhardwaj, Ritik; Sangal, Surabhi
- Description
- The rapid spread of Artificial Intelligence (AI) across sectors like healthcare, finance, education, law enforcement, and public administration has dramatically changed how decisions are made, services are delivered, and organizations function. AI holds incredible potential to improve human well-being and drive societal progress. Yet, alongside these opportunities come serious ethical concernsparticularly around fairness, bias, and the risk of reinforcing existing social inequalities. This chapter explores these challenges in depth, offering an interdisciplinary perspective on how bias emerges in AI systems. 2026 by IGI Global Scientific Publishing. All rights reserved.
- Source
- AI Safety and Preventing Harm in AI Systems;pp.185-212
- Date
- 01-01-2026
- Publisher
- IGI Global
- Coverage
- Bhardwaj R., Christ University, Bengaluru, India; Sangal S., Christ University, Bengaluru, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833736937-2; 979-833736935-8;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Bhardwaj, Ritik; Sangal, Surabhi, “Ensuring Equity and Mitigating Harm in AI (Fairness and Bias),” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/24889.