AI GUIDE FOR BOARDS IN SINGAPORE
Section I: The Board Mandate
3.5 Continuous Learning
AI technologies, risks and regulatory expectations continue to evolve rapidly. Static knowledge depreciates quickly. Boards should therefore establish ongoing mechanisms to maintain awareness and strengthen governance capability. Eective approaches may include: • Structured board education: Conducting regular expert-led brie ngs and workshops, peer-exchange sessions with leading technology institutes and interactive deep dives. Focused on emerging AI technologies, regulatory developments, operational risks cyber threats and industry practices. • Reverse mentorship: Pairing experienced independent directors with internal technology leaders or data scientists. To gain direct, ground-level visibility into corporate data structures, operational
pipelines and organisational capability gaps. • Scenario-based simulations: Executing structured, tabletop exercises, crisis simulations and scenario planning involving AI-related incidents. Focused on hypothetical AI failures, severe algorithmic biases, model-poisoning security breaches, or catastrophic intellectual property leaks. • Ecosystem engagement: Actively participating in broader industry groups, academic research syndicates, and regulatory roundtables to benchmark governance standards against global peers.
Boards must commit to a formalised culture of continuous learning and establish repeatable mechanisms to remain current.
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