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AI Governance by Industry in Singapore: Fintech, Healthcare, Maritime, and the MAS-Driven Standard
Singapore's AI governance framework is sector-led, with MAS setting the pace for financial services and other regulators following. This industry-by-industry guide covers fintech, healthcare, maritime, and other key Singapore sectors.
Key Takeaways
MAS FEAT Principles and the Veritas Assessment Methodology set the standard for fintech and financial services AI governance in Singapore — the November 2025 consultation signals mandatory requirements are coming.
The Ministry of Health (MOH) and Health Sciences Authority (HSA) regulate AI in healthcare — Software as a Medical Device classification applies to clinical AI, with specific pre-market review requirements.
The Maritime and Port Authority (MPA) has issued guidance on AI in maritime operations — Singapore's port is one of the world's largest and an early adopter of autonomous AI systems.
The Personal Data Protection Commission (PDPC) Model AI Governance Framework is the cross-sector voluntary standard — companies that comply with it are well-positioned for sector-specific regulatory requirements.
The IMDA (Infocomm Media Development Authority) AI Verify certification programme provides third-party validation of AI governance claims — increasingly referenced in government procurement requirements.
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AI governance across Singapore industry sectors
Singapore's AI governance operates through a combination of cross-sector voluntary frameworks (Model AI Governance Framework, AI Verify, PDPA) and sector-specific requirements. Different sectors face different intensity of governance expectation.
Financial services
The most governed sector for AI in Singapore. MAS AI Risk Management Guidelines (consultation November 2025, expected finalised 2026) will set supervisory expectations for all MAS-regulated financial institutions. MAS FEAT Principles (Fairness, Ethics, Accountability, Transparency) provide operational guidance. The AIDA Grant under FSTI (valid until March 2026) co-funds AI adoption subject to governance criteria. Banks, insurers, capital markets firms, and fintechs all within scope.
Healthcare
Health Sciences Authority (HSA) regulates AI medical devices. The MOH (Ministry of Health) AI in Healthcare Guidelines apply to public and private healthcare providers. The National Electronic Health Record system creates data governance requirements for AI using health data. AI clinical decision support is subject to clinical governance frameworks.
Legal services
MinLaw issued a September 2025 public consultation on guidelines for using generative AI in the legal sector. The guidelines aim to help legal professionals be responsible users of AI tools. Professional conduct obligations apply to AI use in legal practice — competence, confidentiality, supervision.
Government and public sector
GovTech (Government Technology Agency) published the Agentic AI Primer (2025) for public sector AI deployment. Each ministry appoints AI governance leads. Public sector procurement includes AI governance assessment. The Smart Nation initiative drives AI adoption with governance integration.
Cross-sector requirements
PDPA applies across all sectors for AI processing personal data. PDPC March 2024 Advisory Guidelines on AI clarify PDPA application. AI Verify provides a voluntary testing framework usable by any sector. The Model AI Governance Framework (now three editions: Traditional AI 2020, Generative AI 2024, Agentic AI 2026) provides comprehensive voluntary guidance.