Overview

Responsible Generative Artificial Intelligence (GenAI) Governance equips financial institutions to adopt GenAI responsibly while balancing innovation, customer trust, operational resilience and regulatory expectations. This immersive one-day executive programme introduces practical governance frameworks, decision-making tools and leadership practices to support Artificial Intelligence (AI) adoption across business, technology, risk, compliance and operations functions.

Participants will engage in workplace-centred discussions, financial services case studies, simulations and collaborative activities based on realistic AI implementation scenarios. Drawing on the Monetary Authority of Singapore (MAS) F (Fairness) E (Ethics) Accountability (A) Transparency (T) Principles, Veritas Initiative and Project Mind Forge AI Risk Management Executive Handbook (2025), the programme demonstrates how AI risk materiality, AI lifecycle governance, data governance and human oversight can be applied to manage AI risks effectively.

Designed for middle managers and functional leaders involved in AI-enabled initiatives, the programme focuses on practical application rather than technical AI development. By the end of the programme, participants will be equipped to evaluate AI governance risks, make informed deployment decisions and develop practical governance recommendations that can be applied within their organisations.

Course details

For information on upcoming course dates or to register your interest, please click on [Apply / Register Interest].

Duration: 1 day, 9.00AM to 5.00PM

Who should attend 

• Participants in roles that require evaluating, governing or overseeing the adoption of Generative AI (GenAI) and Artificial Intelligence (AI)-enabled solutions within financial institutions.
• Middle managers, functional managers and project leads involved in digital transformation, AI implementation, operational risk, governance, compliance or technology initiatives who are looking to strengthen their AI governance and decision-making capabilities.
• Ideal for participants currently in, or preparing for, roles such as Business Managers, Product Managers, Operations Managers, Risk Managers, Compliance Managers, Technology Managers, Data Managers, Transformation Managers and Internal Audit professionals responsible for cross-functional AI initiatives.

Prerequisites

• Basic understanding of financial services operations, digital transformation or business processes.
• Current or anticipated involvement in Artificial Intelligence (AI) related initiatives
• Basic awareness of AI or Generative AI (GenAI) concepts. No programming or AI development experience is required.