FEAT principles for AI in financial services
Comply with Singapore MAS FEAT guidelines for AI governance. Fairness, Ethics, Accountability, and Transparency in financial services AI.
Singapore wrote the playbook for AI in financial services. The world is following.
Fairness, Ethics, Accountability, Transparency
The Monetary Authority of Singapore (MAS) released the FEAT principles in 2018, updated in 2022. They represent the most mature regulatory framework for AI in financial services globally.
While principles-based, MAS has published detailed methodology documents and assessment tools. Financial institutions in Singapore must demonstrate FEAT alignment.
Fairness
AI decisions should not result in unfair treatment. Protected attributes should not lead to discriminatory outcomes.
Ethics
AI should adhere to ethical standards. Data usage should respect consent. Systems should align with societal norms.
Accountability
Clear responsibility for AI outcomes. Humans must be able to oversee and intervene. Organizations accountable to customers.
Transparency
Customers should know when AI is being used. Explanations should be available for AI-driven decisions.
"MAS doesn't just publish principles. They publish methodologies, assessment tools, and industry benchmarks. This is regulation that means business."
The APAC gateway for responsible AI
Singapore's influence extends far beyond its borders.
Regional influence
Singapore is the financial hub of Southeast Asia. MAS standards influence regulators across APAC, from Hong Kong to Australia to Japan.
Veritas framework
MAS leads the Veritas initiative with industry partners. Practical assessment methodologies for FEAT. Detailed guidance that other regulators reference.
Global finance center
Any global financial institution operating in Asia needs Singapore presence. MAS compliance is a prerequisite for the market.
Innovation sandbox
MAS balances governance with innovation. Regulatory sandbox enables testing. Compliance doesn't mean prohibition.
How Rotascale maps to MAS FEAT principles
Each FEAT principle addressed with platform capabilities.
Fairness: Individual & Group
Decisions should be fair at individual level and not systematically disadvantage groups
Bias detection across protected attributes. Group fairness metrics. Individual fairness analysis. Continuous monitoring for discriminatory drift.
Fairness: Data Usage
Personal attributes should only be used where relevant and permitted
Data lineage tracking. Attribute usage documentation. Consent management integration. Audit trail for data decisions.
Ethics: Responsible Data Use
Data should be used in accordance with consent and ethical standards
Data governance policies enforced. Purpose limitation. Retention management. Ethical use documentation.
Accountability: Human Oversight
Humans must be able to understand, monitor, and intervene in AI decisions
Human-in-the-loop checkpoints. Approval workflows for high-stakes decisions. Runtime intervention capabilities. Kill switches.
Accountability: Audit Trail
Complete record of AI decisions and reasoning for review and accountability
Agent Flight Recorder captures every decision. Reasoning chains preserved. Immutable audit log. Regulator-ready evidence.
Transparency: Disclosure
Customers should know when AI is involved in decisions affecting them
AI involvement tracking. Disclosure triggers. Customer communication integration. Confidence level transparency.
Transparency: Explainability
Ability to explain AI decisions in terms customers can understand
Reasoning chain capture. Consumer-appropriate explanation generation. Factor importance tracking.
The Veritas methodology
MAS partnered with industry to create Veritas: a practical assessment framework for FEAT principles. It includes detailed methodologies, metrics, and tools.
Rotascale's assessment services align with Veritas methodology, ensuring your FEAT compliance is rigorous and defensible.
Fairness assessment
Veritas provides specific metrics for individual and group fairness. Our Eval platform calculates these metrics continuously.
Ethics documentation
Veritas requires documenting ethical considerations. Our platform captures data usage decisions and policy rationale.
Accountability mapping
Veritas requires clear accountability structures. AgentOps codifies responsibility and oversight in configuration.
Transparency mechanisms
Veritas specifies explanation requirements. Orchestrate captures reasoning for consumer-appropriate explanations.
MAS FEAT compliance services
Veritas-aligned assessment and implementation.
FEAT Gap Assessment
$45K
3 weeks. Veritas methodology assessment. AI inventory, FEAT principle mapping, gap analysis with remediation priorities.
Fairness Deep-Dive
$60K
4 weeks. Detailed fairness analysis using MAS-specified metrics. Bias testing, group fairness assessment, remediation recommendations.
Full FEAT Implementation
$200K+
14-18 weeks. Rotascale platform deployment configured for MAS FEAT compliance. Veritas-ready assessment capabilities. Continuous monitoring.
The Singapore standard is the APAC standard
MAS FEAT compliance positions you for financial services AI across Asia-Pacific.