MAS FEAT & IMDA Mapping
Playbook #006: MAS FEAT & IMDA Mapping
Executive Brief
For Singapore-based entities, AI adoption is not just a technical choice but a regulatory one. This playbook entry anchors ALIGN_DYNAMICS controls directly to the MAS FEAT (Fairness, Ethics, Accountability, Transparency) principles and the IMDA AI Governance Framework. It turns 'Good Governance' into 'Auditable Evidence' that satisfies both the Investment Committee and local regulators.
Questions to Consider
- “How are we mapping our 'Chain-of-Thought' logs (Signal #004) to the MAS Accountability mandate?”
- “Can we produce a 'Fairness Report' for this model if the IMDA requests an audit tomorrow?”
- “Is our data protection impact assessment (DPIA) updated for the specific residency requirements of PDPA s26?”
- “Who is the named 'Logic Owner' responsible for the autonomous actions of this agent?”
Expected Excuses
- "MAS FEAT principles are just 'guidelines' and not yet hard-coded statutory law." — Rebuttal: In Singapore, 'guidelines' from MAS are the precursors to licensing friction and audit failure. We will be compliant-by-design to avoid the catastrophic cost of retrofitting governance after an inquiry.
- "Aligning to FEAT will slow down our development velocity by at least 20%." — Rebuttal: The cost of a regulatory rework or a forced model shutdown by MAS is significantly higher than a 20% development tax. Compliance is the foundation of scale, not a bottleneck.
- "Our global corporate compliance framework already covers local Singaporean requirements." — Rebuttal: Generic global frameworks often miss the specific 'Explainability' and 'Fairness' thresholds defined in the IMDA's AI Verify framework. We require a local mapping to survive a regional audit.
Executive Script
Tell your team: 'Effective immediately, no AI system shall pass the 90-day gate without a FEAT Compliance Appendix. We will be compliant-by-design, or we will not deploy. Every model output must be explainable within 4 clicks of the trace log. Compliance is our competitive advantage in this market.'
The Friction
The 'Innovation speed' of Singapore's tech hub often outpaces its 'Regulatory clarity.' This creates a vacuum where technical teams deploy agents that inadvertently violate MAS guidelines regarding transparency and automated decisioning. This playbook resolves the friction by converting static legal guidelines into machine-readable governance gates—ensuring the 'License to Operate' is maintained without stifling dev speed.
The Playbook: The MAS FEAT Alignment Matrix
Step 1: Accountability Lead
Assign a specific 'Human-in-the-Loop' owner for every autonomous agentic action to satisfy MAS accountability mandates.
Step 2: Transparency Logs
Mandate that all 'Black Box' logic nodes are exposed via a searchable Forensic Trace Diagram for immediate regulatory inspection.
Step 3: Fairness Stress Test
Execute a 'Bias Stress Test' on all output samples before they touch customer-facing interfaces to ensure no algorithmic discrimination.
The MAS FEAT Alignment Matrix
# SG Regulatory Stance
compliance_mapping:
mas_feat:
fairness: PLAYBOOK_003_HITL
ethics: SIGNAL_004_INTENT_TAGGING
accountability: SIGNAL_004_COT_LOGGING
transparency: PLAYBOOK_004_LOGIC_NODE_SOP
imda_framework:
internal_governance: SIGNAL_001_PROCUREMENT_GATEWAY
human_centricity: PLAYBOOK_003_HUMAN_OVERRIDE
data_protection:
statute: PDPA_SINGAPORE
requirement: RESIDENCY_STRICTStrategic Constraint
Legal / Compliance
P&L Impact
Regulatory Fine Avoidance
Signal Strength
Mandatory