AI GUIDE FOR BOARDS IN SINGAPORE Section I: The Board Mandate
consolidate governance frameworks, reusable technology components, data infrastructure and specialist expertise. e objective is to move pilots into production within predictable timeframes. Strengthening data governance, cyber security, operational resilience, model oversight and vendor diversi cation enables organisations to accelerate AI deployment while reducing systemic risk. Sustainable AI transformation requires a shi from isolated pilot projects to integrated, platform-based operating models. 1.2.3 e regulatory environment As AI matures, legislators, regulators and standard bodies are making eorts to ensure that AI is developed and used in a reliable and safe way. ese eorts range from voluntary ethical frameworks to technical standards to enforceable obligations. ese can be at sectoral, national or global levels, and can also vary from jurisdiction to jurisdiction. Innovation is critical for companies' competitiveness, but boards need to ensure that governance requirements are taken into account in the process. Boards must therefore ensure that AI strategy is aligned not only with commercial objectives, but also with emerging legal, Boards must have the institutional capability to scale AI responsibly and competitively.
ethical and governance requirements.
• Global regulatory exposure: Singapore- based organisations may increasingly be aected by international frameworks such as the EU AI Act, particularly where they operate across jurisdictions or serve global customers. • Sector-speci c accountability: In nancial services, the Monetary Authority of Singapore FEAT principles reinforce that boards and senior management are directly accountable for AI-related outcomes and risks. ese developments sit alongside increasingly complex obligations relating to personal data protection, cyber security, cross-border data governance and technology sanctions across geopolitical systems and global technology stacks. Governance frameworks and tools like the Model AI Governance Frameworks and AI Verify Testing Framework developed by the Infocomm Media Development Authority (IMDA) can help organisations navigate some of these obligations. ese are aligned with other international frameworks such as those from the EU, G7, OECD and the US, and help organisations to assess the responsible implementation of their AI systems. Responsible AI governance is a core component of enterprise risk management, regulatory, compliance and long-term organisational trust.
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