For boards and directors
AI risk management for boards
You do not need to run AI yourself. You need to oversee it, and to show a supervisor that you do.
Under the MAS AI Risk Management Guidelines (AIRG), AI risk is a board responsibility, not only a technical one. The board approves and regularly reviews the strategic direction for the firm's use of AI, makes sure the risks from AI use sit inside the risk appetite framework, sets clear accountability for who manages those risks, and keeps enough understanding of AI to challenge what it is told. You do not sign off on models; you make sure someone competent and independent does, and that the firm can account for every material use.
The practical test is whether you can answer a few questions about your firm's AI: where it is used, how material each use is, who is accountable, and what happens when something goes wrong. A fuller board guide, built around those questions, is coming.
Where to start
- The complete guide to AI risk management in finance in Singapore - the whole picture in one place.
- The AIRG explained - the guidelines your firm is supervised against.
- The AIRG is final - what the 7 October 2026 final means, and the timeline you are working to.
- Boring Questions on AI Risk Management for Directors - a board-facing primer: five questions to take into the next board meeting.
I developed the AIRG while leading AI risk supervision at MAS, and now advise boards and their directors independently. I am building a fuller guide for the board; subscribe to get it, and future updates on the AIRG.