The State Bank of Vietnam (SBV) is encouraging banks and financial institutions to accelerate the adoption of artificial intelligence (AI) while emphasising the need for stronger risk management frameworks to ensure safe and responsible implementation.
The approach reflects the growing global trend where regulators are supporting technological innovation in banking while ensuring that emerging risks associated with AI are properly controlled.
AI is increasingly being adopted by financial institutions for applications such as fraud detection, customer service automation, credit assessment, risk analysis and operational efficiency improvement. Vietnamese banks are exploring AI solutions to enhance service delivery and strengthen competitiveness in the digital banking environment.
However, the expansion of AI usage also introduces new categories of risks. Financial institutions need effective governance frameworks to address challenges related to data quality, model reliability, cybersecurity, transparency and accountability.
The central bank’s approach highlights the importance of balancing innovation with control. Banks adopting AI systems must ensure that technology supports responsible decision-making and does not create unacceptable risks for customers or the broader financial system.
Data governance is a critical requirement for successful AI adoption. Since AI models rely on large volumes of information, banks need strong controls to ensure data accuracy, security, privacy protection and appropriate usage.
Model risk management is also becoming increasingly important. AI-driven decisions need regular validation, performance monitoring and human oversight to ensure that errors, bias or unexpected outcomes are identified and managed effectively.
Cybersecurity is another major concern as banks integrate AI into critical operations. Technology-driven systems can create new vulnerabilities, requiring stronger security controls, access management and continuous monitoring.
AI adoption in areas such as lending and credit assessment requires particular attention. While AI can improve predictive capabilities, banks must ensure that automated decisions remain fair, explainable and aligned with regulatory expectations.
The growing use of AI is also changing the skill requirements within banking organisations. Risk professionals, technology teams and business units need greater understanding of AI governance, technology risks and responsible implementation practices.
The regulatory focus on AI governance reflects a wider movement across the global financial sector. Central banks and regulators are increasingly developing frameworks that encourage innovation while protecting financial stability and customer interests.
Vietnam’s approach demonstrates that successful digital transformation requires more than technology investment. Strong governance, effective risk management and responsible AI practices are essential for creating a sustainable digital banking ecosystem.
As AI continues to reshape financial services, banks that combine innovation with robust controls will be better positioned to improve efficiency, enhance customer experience and manage emerging technology risks.
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