Operationalising Ethical & Responsible Generative AI and Data Governance in Financial Services
About This Course
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.
What You'll Learn
1. Evaluate ethical, operational and governance risks associated with Artificial Intelligence (AI)-enabled initiatives using Monetary Authority of Singapore (MAS)-aligned responsible AI principles.
2. Apply AI governance frameworks, including AI lifecycle, AI risk materiality and data governance concepts, to practical financial services scenarios.
3. Recommend appropriate governance, monitoring and human oversight measures to support responsible Generative AI (GenAI) adoption across business functions.
4. Develop practical solutions and implementation strategies to strengthen responsible AI adoption within their own organisations.
Entry Requirements
a. Basic understanding of financial services operations, digital transformation or business processes.
b. Current or anticipated involvement in Artificial Intelligence (AI) related initiatives.
c. Basic awareness of AI or Generative AI (GenAI) concepts. No programming or AI development experience is required.