AI Risk Register for SG

SG-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in SG. The top frameworks cited:

• Personal Data Protection Act 2012 (PDPA, as amended 2020)legislation · In force

  Organisations must obtain consent for personal data collection, implement data protection policies commensurate with data sensitivity, notify the PDPC and affected individuals of significant data breaches, and appoint a Data Protection Officer.

• Model AI Governance Framework for Generative AI (IMDA/PDPC, 2024)voluntary_framework · Voluntary

  Organisations should establish internal AI governance structures, conduct regular risk assessments of AI systems for safety and fairness, implement human oversight mechanisms proportionate to decision consequence, and communicate AI use transparently to affected stakeholders.

• MAS Principles on Fairness, Ethics, Accountability and Transparency (FEAT)regulatory_principles · In force

  Financial institutions must ensure AI and data analytics deployed in financial services are fair, ethical, accountable, and transparent, and should conduct FEAT self-assessments using the Veritas Fairness Assessment Methodology.

• MAS Advisory on Use of Generative AI in Financial Services (2024)regulatory_guidance · In force

  Financial institutions deploying generative AI must implement robust governance frameworks, maintain human oversight for material financial decisions, ensure data quality and provenance, conduct ongoing model performance monitoring, and manage third-party AI vendor risks.

How the AI Risk Register approaches this

You select jurisdiction, industry, and risk appetite. The tool produces a register pre-populated with 12 to 18 AI risks relevant to your sector — each already scored on a 5×5 matrix with suggested mitigations.

You receive the same register in both .xlsx and .docx formats: the spreadsheet for live editing and ongoing risk-committee work, and the Word document for paper sign-off and board appendices. Add organisation-specific risks, adjust scores, assign owners, and set review cadence — the starting point is a credible draft, not a blank template.

What you get

• ✓ Arrives as a working spreadsheet — not a PDF — so it fits straight into your risk workflow.
• ✓ Each risk carries the regulatory obligation it maps to, so reviewers can trace the "why" without re-researching.
• ✓ Bias considerations drawn from published evidence relevant to your sector, surfacing failure modes that generic templates miss.
• ✓ Designed to be signed off by a qualified risk owner — the output does not replace that review, it accelerates the drafting stage.

Ready to generate?

$29 · one-time — answer a 6-question intake (including jurisdiction = SG), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages