The Monetary Authority of Singapore (MAS) has announced the completion of phase two of Project MindForge, culminating in the release of an Artificial Intelligence (AI) Risk Management Toolkit for the financial sector. Developed in collaboration with 24 leading banks, insurance companies, and capital market firms, the toolkit offers resources to manage risks associated with traditional AI, generative AI, and emerging agentic AI technologies.
The toolkit includes an ‘AI Risk Management Operationalisation Handbook’, providing practical guidance on implementing AI risk management frameworks. It is supplemented by a collection of AI case studies, offering insights into the challenges and practices of using AI in various organisational contexts. The handbook is structured into four sections: scope and oversight, AI risk management, AI lifecycle management, and enablers, aligning with MAS’ proposed Guidelines on AI Risk Management.
Kenneth Gay, Chief FinTech Officer at MAS, stated, “The development of the MindForge AI Risk Management Toolkit marks a major step forward in our journey to ensure the responsible adoption of AI in finance.” He emphasised the importance of continuous engagement and strengthening AI governance across the industry.
The toolkit will be periodically updated to reflect the evolving use of AI in the industry. MAS plans to establish an AI risk management workgroup under the BuildFin.ai initiative to facilitate broader industry adoption of AI risk management practices. This initiative aims to develop implementation resources and build capabilities for managing risks from newer AI technologies.
The project has garnered support from industry leaders, with Sameer Gupta of DBS Bank highlighting the importance of governance as a strategic imperative to preserve customer trust. The initiative is seen as a benchmark for responsible AI adoption, not only in Singapore but across the region.
