The Impact of AI-Driven Fraud Detection on Financial Inclusion in India: Opportunities and Challenges
Year: 2025
Type: article
Abstract: This research paper examines the intricate relationship between AI-driven fraud detection systems and financial inclusion efforts in India. As the country strives to bring more citizens into the formal banking sector, the implementation of advanced technologies like Artificial Intelligence (AI) in fraud prevention presents both opportunities and challenges. This study explores how AI-based fraud detection mechanisms can potentially enhance trust in financial institutions, reduce operational costs, and improve access to credit for underserved populations. Conversely, it also investigates the potential barriers these technologies may create, such as exacerbating the digital divide or introducing algorithmic biases. Through a comprehensive analysis of current literature, case studies, and expert interviews, this paper aims to provide insights into the complex interplay between technological advancements in banking security and the broader goal of financial inclusion. The findings suggest that while AI-driven fraud detection has the potential to significantly boost financial inclusion efforts, its implementation must be carefully managed to ensure equitable access and prevent unintended exclusion. The study concludes with policy recommendations and directions for future research to optimize the use of AI in fraud detection while promoting inclusive financial growth in India.
Authors: Mr. Lokendra Patel, Dr. Priyanka Gupta
Institution: NIMS University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949868839
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