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Home » MAS advocates for the ethical application of AI in the financial sector.
AI in Finance

MAS advocates for the ethical application of AI in the financial sector.

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New AI Risk Management Guidelines Proposed by MAS


MAS

The Monetary Authority of Singapore (MAS) has introduced a consultation paper outlining new guidelines aimed at assisting financial institutions in responsibly navigating AI-related risks.

The proposed AI Risk Management Guidelines set forth supervisory expectations regarding how financial institutions should oversee, monitor, and build their capabilities in utilizing AI technology in financial services. This initiative strives to cultivate a secure environment as AI becomes increasingly integral to financial operations.

These guidelines are designed to be applicable across the entire financial sector, creating a unified framework that is adaptable according to the scale and complexity of AI implementation within individual institutions. Additionally, this framework encompasses a wide array of AI technologies and applications, including generative AI and emerging AI agents, confirming MAS’s recognition of the rapid evolution within this field.

Key Areas of Focus in the Guidelines

MAS has identified three critical areas of intervention that institutions must prioritize. The first involves governance and oversight, mandating that boards and senior management engage significantly in the establishment of robust frameworks, policies, and processes for effective AI risk management. This includes nurturing a strong internal culture that emphasizes the responsible application of AI technology.

Establishing Comprehensive AI Risk Management Systems

The second focus area involves the development of AI risk management systems, policies, and procedures. Institutions are compelled to identify all areas utilizing AI within their organizations, maintain inventories of AI applications, and evaluate risks based on their potential impact, complexity, and reliability. This approach aims to enhance visibility and control over AI deployment across companies.

Implementing AI Lifecycle Controls

Lastly, MAS underscores the necessity for effective AI lifecycle controls, ensuring institutions possess the essential capacity to responsibly manage AI. This encompasses implementing strong controls regarding data management, fairness, transparency, explainability, human oversight, third-party risk, and change management. The guidelines stipulate that these controls should be proportionately applied, relative to the assessed risk levels associated with each AI system.

Building on Previous Reviews and Feedback

The new proposals build upon MAS’s thematic review conducted in 2024 concerning the use of AI by major banks, integrating insights gleaned from dialogues with financial institutions within Singapore’s robust financial ecosystem. This evolution reflects a commitment to fostering responsible and innovative AI deployment.

A Vision for Responsible Financial Innovation

According to MAS Deputy Director General Ho Hern Shin, “The proposed AI risk management guidelines provide financial institutions with clear supervisory expectations to facilitate the safe integration of AI in their operations. These proportionate, risk-based guidelines support responsible innovation, allowing institutions to implement vital safeguards against key AI-related risks.”

The release of this consultation paper signifies another pivotal step in Singapore’s pursuit of becoming a global leader in AI governance and advancing responsible financial innovation.

For more insights on this topic, visit RegTech Analyst.

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AI Applications in Financial Technology

December 13, 2025

Philippine startup ecosystem thrives in fintech, with growth potential in P2G payments and remittances.

December 12, 2025

Broadcom Shares Decline as AI Expectations Fall Short and CEO Comments Cause Confusion; Investors Skeptical of AI Growth Rate

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