Banks Won't Evade Responsibility for AI Decisions: RBI Governor

RBI Governor Directs Banks on AI Accountability

Mumbai | August 12, 2026: Reserve Bank of India (RBI) Governor Sanjay Malhotra has issued a stern directive to banks regarding the use of artificial intelligence (AI). Speaking at a significant event in Mumbai, he clarified that banks cannot shift the blame for any inappropriate or erroneous decisions onto AI models, algorithms, or the technology itself.

The governor emphasized that such justifications will not be accepted when facing customers, auditors, or regulators, stating that the argument 'the model made the decision' is unacceptable. Banks must ensure robust human oversight and accountability within their AI-based systems, as AI should augment, not replace, human decision-making capabilities.

'The Model Made the Decision' Argument Unacceptable

The banking sector is rapidly integrating AI across various functions, including credit assessment, fraud detection, risk management, and customer service. Despite the increasing reliance on these algorithmic systems, the ultimate responsibility will always lie with the bank, as stated by Governor Malhotra. If an AI system makes an incorrect decision concerning a customer, the bank cannot absolve itself of liability by claiming the 'model' was responsible.

This means banking institutions must develop strong control and accountability frameworks alongside their AI-powered decision systems. This ensures that technological advancements are accompanied by human supervision and ethical considerations.

Human Intervention Essential at Every Level

When developing and deploying AI models, it is crucial for banks to maintain scope for meaningful human oversight in critical decision-making. Simply accepting model outputs as final decisions carries significant risks.

Human intervention allows for thorough reviews of unusual or suspicious cases, preventing decisions based on flawed data, incomplete information, or unforeseen circumstances. Human judgment and experience complement AI's data analysis, leading to more balanced and accurate outcomes, especially in complex customer financial or personal situations.

AI, Not a Substitute for Human Judgment

Governor Malhotra's clear message is that AI in banking should not be viewed as a replacement for human judgment. Its primary purpose is to enhance the capabilities of officers and staff.

While AI can rapidly analyze vast datasets and identify patterns, human discretion and institutional responsibility remain paramount in final decision-making. AI can provide data-driven insights, but ethical considerations, empathy, and strategic foresight are inherent in human judgment, aspects AI cannot currently replicate.

Protecting Customer Interests is Paramount

The use of AI in banking directly impacts customers. Whether a loan application is rejected, risk is assessed, or action is taken on an account based on a model, a fair process and clear accountability are imperative.

Customers must understand the process behind decisions affecting them. Banks cannot justify decisions solely by referencing complex technical models. Transparency is a customer right and a bank's responsibility to ensure in AI-driven processes.

Role of Audit and Regulatory Oversight

With the proliferation of AI-based banking systems, the roles of audit and regulatory oversight become even more critical. Banks must ensure their AI models operate in compliance with established rules and risk management frameworks.

A robust system for continuous monitoring of model data, outcomes, and decision processes is necessary to identify and rectify any errors or biased results. This ensures AI is used fairly, securely, and in accordance with regulatory guidelines.

AI Enhances Banking Efficiency and Risk Management

The judicious use of AI can make the banking sector faster, more efficient, and customer-centric. AI is exceptionally useful in areas like fraud detection, advanced customer support, effective risk analysis, and processing large volumes of financial data.

However, inherent technical risks are associated with AI, including incorrect data inputs, model flaws, cybersecurity threats, and faulty estimations, which can negatively impact banking decisions. Therefore, effectively managing potential risks alongside AI benefits is equally crucial.

Final Conclusion: Responsibility Always Rests with the Bank

The RBI Governor's core message focuses on the responsible use of AI in banking. Regardless of technological advancement, the accountability for decisions made through AI will not cease with the institution. Banks must strengthen human oversight in AI models, robust risk controls, adequate transparency, and clear accountability mechanisms.

As AI usage grows in the banking sector, the principle that 'machines may make decisions, but their responsibility will always remain with humans and the institution' will become even more significant.