MAS FEAT is a set of principles published by the Monetary Authority of Singapore that governs the responsible use of artificial intelligence and data analytics in the financial sector. The four principles — Fairness, Ethics, Accountability, and Transparency — provide a framework for AI development, deployment, and ongoing monitoring by Singapore-licensed financial institutions.

What does each FEAT principle require?

Fairness: AI-driven decisions are justifiable, individuals are not systematically disadvantaged, data and models are reviewed for bias. Ethics: AI usage aligns with the firm's ethical standards and societal norms. Accountability: internal governance is clear about who owns AI decisions; mechanisms exist to challenge and review. Transparency: AI usage is disclosed to affected customers, and decision rationale can be explained at an appropriate level.

Is MAS FEAT mandatory?

FEAT itself is principles-based guidance, not a binding regulation. In practice, MAS expects licensed financial institutions to demonstrate alignment with FEAT during supervisory review, and audit work increasingly treats FEAT-equivalent controls as de facto required for any AI deployed in a regulated function.

What is the Veritas Initiative?

Veritas is a MAS-led industry consortium that operationalizes FEAT into assessment methodologies. It publishes open-source toolkits and case studies covering specific use cases (credit risk scoring, customer marketing, fraud detection). Vendors and FIs can use Veritas assessments to demonstrate FEAT alignment in concrete, testable terms.

Who must comply with MAS FEAT in Singapore?

All MAS-supervised financial institutions — banks, insurers, capital markets services, payment service providers, financing companies, and licensed fintechs — that deploy AI or data analytics in customer-impacting decisions. Their AI vendors and third-party service providers are expected to support FEAT compliance through documentation, audit logs, and assessment cooperation.

How does MAS FEAT compare to PDPA?

PDPA (Personal Data Protection Act) governs how personal data is collected, used, and disclosed in Singapore. MAS FEAT governs how AI/data analytics decisions are made in the financial sector. They overlap on transparency and accountability but FEAT is sector-specific and broader: it covers AI fairness and ethics beyond the data-handling scope of PDPA.

How does Nova Solutions support MAS FEAT compliance?

Nova for Finance is built MAS FEAT-aligned by default: every AI interaction is logged with full transcript, timestamp, and decision rationale (transparency + accountability); model outputs include explainability traces (transparency); demographic-bias checks run on training data and predictions (fairness); usage is disclosed to end customers in the interaction itself; the dashboard surfaces all this evidence for Veritas-style assessments.

MAS FEAT Principles — AI Governance for Singapore Finance

Also known as: FEAT Principles · Fairness, Ethics, Accountability, Transparency · MAS AI Guidance

By Landon Little, Founder of Zentarai Labs · Updated May 13, 2026

TL;DR

MAS FEAT is the Monetary Authority of Singapore's principles-based framework for responsible AI in financial services. Four pillars: Fairness, Ethics, Accountability, Transparency. Operationalized via the Veritas Initiative. Voluntary by name, de facto required for any Singapore-licensed FI deploying AI in customer-impacting decisions.

MAS FEAT is a set of four principles — Fairness, Ethics, Accountability, Transparency — published by the Monetary Authority of Singapore in 2018 to guide the responsible use of artificial intelligence and data analytics in the financial sector. While principles-based, FEAT is the reference framework MAS uses during supervisory review of AI deployments by licensed FIs.

The four principles

Fairness

AI-driven decisions are justifiable. Data and models are reviewed for bias. Individuals are not systematically disadvantaged.

Ethics

AI usage aligns with the firm's ethical standards and broader societal norms. Use-case fit is examined before deployment.

Accountability

Clear internal ownership of AI decisions. Mechanisms exist for affected parties to challenge outcomes and for FIs to remediate.

Transparency

AI usage is disclosed to affected customers. Decision rationale is explainable at an appropriate level for the audience.

The Veritas Initiative — how FEAT becomes testable

FEAT principles alone are abstract. The Veritas Initiative is MAS's industry consortium that operationalizes FEAT into concrete assessment methodologies. Veritas publishes open-source toolkits and case studies for specific use cases — credit risk scoring, customer marketing, fraud detection, claims processing. An FI demonstrating FEAT alignment increasingly does so via a Veritas-style assessment rather than a narrative compliance memo.

Who must comply

All MAS-supervised financial institutions deploying AI in customer-impacting decisions: banks, insurers, capital markets services, payment service providers, financing companies, and licensed fintechs. Vendors and third-party service providers supporting AI deployments are expected to support FEAT compliance through documentation, audit logs, and Veritas-style assessment cooperation.

FEAT vs PDPA — different surfaces

The Personal Data Protection Act (PDPA) governs how personal data is collected, used, and disclosed in Singapore generally. MAS FEAT governs how AI/data analytics decisions are made in the financial sector specifically. They overlap on transparency and accountability but FEAT is sector-scoped and broader: it covers AI fairness and ethics beyond PDPA's data-handling concerns. Both apply to Nova Solutions deployments in Singapore.

Common AI vendor gaps

Black-box models without explainability — fails Transparency. Any model used in a customer-impacting decision needs decision-rationale traces.
Training data with unaddressed bias — fails Fairness. Bias testing on age, gender, nationality, income is required for credit and underwriting models.
No clear ownership for outputs — fails Accountability. Who at the FI signs off on the AI's decision logic, and who handles customer challenges?
Hidden AI usage — fails Transparency. Customers in scope must be aware AI is part of the decision and have a path to human review.
No audit trail — fails all four. Every customer-impacting AI interaction needs a permanent, timestamped, queryable record.

How Nova Solutions is built MAS FEAT-aligned

Nova for Finance is engineered around FEAT from the data layer up:

Full interaction logs — every AI interaction permanently recorded with transcript, timestamp, decision rationale → Transparency + Accountability
Explainability traces — model outputs include the factors that drove each decision → Transparency
Bias monitoring — demographic-bias checks run continuously on training data and live predictions → Fairness
Disclosure-by-default — voice agents identify as automated; SMS templates include AI-disclosure where required → Transparency
Veritas-ready evidence — the dashboard surfaces all of the above in formats Veritas assessments expect → Ethics + Accountability

Singapore-licensed FIs deploying Nova for Finance do not have to retrofit FEAT compliance — it's the baseline architecture.

Related rules

MAS FEAT-aligned AI for Singapore FIs

Nova for Finance ships with the audit logs, explainability, bias monitoring, and disclosure-by-default needed to clear MAS supervisory review.

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