India International Times Latest Business News from India
The increasing use of artificial intelligence (AI) and machine learning (ML) in the global financial sector could pose significant risks to financial stability if not properly managed, according to Shaktikanta Das, the Governor of the Reserve Bank of India (RBI). Speaking at an event in New Delhi on Monday, Das emphasized the need for banks to adopt strong risk mitigation practices as they integrate AI into their operations.
Das highlighted that the financial sector’s growing reliance on AI could lead to concentration risks, particularly if a few technology providers dominate the market. “The heavy dependence on AI by financial institutions can amplify systemic risks. Failures or disruptions in these AI systems could ripple through the entire financial sector,” he cautioned.
In India, banks and financial service providers are increasingly using AI to enhance customer experience, reduce operational costs, manage risks, and boost growth through applications like chatbots and personalized banking services. However, this growing reliance on AI also introduces new vulnerabilities, including a heightened risk of cyberattacks and data breaches.
Das pointed out another key concern—the “opacity” of AI algorithms. The complexity and lack of transparency in AI systems make it difficult to audit or interpret the decision-making processes behind lending and other financial services. This could lead to unpredictable market outcomes, with potentially severe consequences.
In addition to AI-related risks, Das also raised concerns about the rapid expansion of private credit markets globally. These markets, he noted, are lightly regulated and have not undergone stress testing during a significant economic downturn. The unchecked growth of private credit could pose further risks to financial stability.
As the adoption of AI continues to reshape the financial landscape, Das urged banks and regulators to stay vigilant and ensure that adequate safeguards are in place to prevent systemic disruptions.
