AI Bias and Digital Marginalization in India: Causes and Affected Communities

Ms. Sayali Parab, Asst. Professor, B.Sc(I.T.)

Email: sayali.parab@lsraheja.org

Ms. Sharmin Ashfaque Kazi, Student of B.Sc(I.T.)

Email: sharminkazi328@gmail.com

SES’s L.S.RAHEJA COLLEGE OF ARTS AND COMMERCE (Autonomous)

Abstract : Artificial Intelligence (AI) is widely used in Indian digital platforms such as online shopping websites, digital payment systems, and mobile applications. AI helps automate decisions, improve services, and increase efficiency. However, AI systems can sometimes produce biased results, which may lead to digital marginalization. AI bias occurs when automated systems treat certain users unfairly due to biased data, design issues, or lack of proper testing. The study revealed that AI bias in India's digital systems stems from training data that doesn't represent all sections of society equally. The lack of diversity in datasets and limited transparency in AI decision-making processes further exacerbate the issue, leading to skewed outcomes that disproportionately affect marginalized communities The study identifies that rural users, low-income groups, elderly users, first-time internet users, and people from different language backgrounds are more likely to face exclusion due to biased AI systems. Many users also have limited digital awareness, which makes it difficult for them to understand or question AI-based decisions. This reduces trust in digital platforms. The paper argues that reducing AI bias requires more than technical improvements. A combined approach is needed, including inclusive data practices, regular bias testing, transparent AI systems, strong regulations, and user education. The study concludes that addressing AI bias and digital marginalization in India requires joint efforts from technology developers, organizations, policymakers, and informed users to ensure fair and inclusive digital growth.

Keywords: Artificial Intelligence, AI Bias, Digital Marginalization, Indian Digital Platforms, User Awareness, Digital Inclusion..