“Propelling Due Diligence Automation and Bolstering Regulatory Compliance in Defense Lending with AI” – A Commercial Frame
Harshini J1, Research Scholar, Department of Commerce, Loyola College, Chennai
Dr A Xavier Mahimairaj2, Associate Professor and Research Guide, Department of Commerce, Loyola College, Chennai
ABSTRACT
This paper explores the transformative role of Artificial Intelligence (AI) in automating due diligence processes within defense lending, a critical area where financial institutions provide credit to defense-related companies. Due diligence, traditionally a labor-intensive process, can be significantly enhanced by AI, leading to faster, more accurate, and cost-efficient assessments of financial, operational, and legal risks. AI’s ability to process vast amounts of data, predict trends, and enhance risk management, fraud detection, and regulatory compliance makes it invaluable in defense lending, where the stakes are exceptionally high due to geopolitical uncertainties and security concerns. The study aims to examine AI’s impact on decision-making efficiency, cost reduction, and compliance in defense lending, while also addressing the ethical concerns, limitations, and challenges of AI implementation. A review of existing literature reveals that while AI improves risk prediction and operational efficiency, challenges related to transparency, bias, and cyber security remain. The findings suggest that explicability and fairness should be tailored to specific applications to enhance trust and accountability. The paper concludes by offering insights into how AI can be effectively integrated into defense lending through robust governance frameworks and a combination of AI techniques to enhance risk management. Future research directions include hybrid AI models, cognitive algorithms, and the implications of AI on global security dynamics, emphasizing the need for a legal framework to ensure responsible AI use.
Keywords: Artificial Intelligence, Defense lending, Diligence, Regulatory compliance and AI's effectiveness
