Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of AI and Data Analytics in Singapore's Financial Sector
Is this legally binding?
Supervisory expectation. Not law. It is what your supervisor examines you against, which is not the same as optional.
MAS information paper co-created with the financial industry, published 12 Nov 2018 (para 1.4 updated 7 Feb 2019). 14 principles across Fairness, Ethics, Accountability and Transparency for firms using AI/data analytics (AIDA) in decision-making. Non-prescriptive, not legally binding; MAS treats the principles as its supervisory frame for responsible AIDA use.
From the source
“This set of Principles is not intended to be prescriptive.”
MAS monographs/information paper page; document Section 2.2
Instrument record
- Short name
- FEAT
- Date
- 2018-11-12
- Version
- Not versioned
- Cluster
- core
What this connects to
28 relations. Official relations are the ones the source documents state; anything marked GAGE analysis is our reading, not an agency's.
Operationalised by2
- InstrumentVeritas Initiative (MAS-led consortium)Guidance
Veritas enables FIs to evaluate AIDA-driven solutions against the FEAT principles
- ToolVeritas Toolkit (open source, v2.0)Guidance
Open-source toolkit implementing FEAT assessment methodologies
Issued by1
- AgencyMonetary Authority of Singapore (MAS)Binding, sectoral
Co-created by MAS with the financial industry; published by MAS as an information paper/monograph
Applies to1
- ConceptFinancial services sector (Singapore)Guidance
Guides all firms using AIDA to provide financial products and services in Singapore
Cites1
- InstrumentModel AI Governance Framework, 2nd Edition (2020)Guidance
FEAT para 1.4: MAS worked with PDPC and IMDA to align the Principles with IMDA's AI governance initiatives; PDPC's Model AI Governance Framework is 'complementary to this document'
Cited by23
- ConceptFEAT principle: FairnessSupervisory expectation
Principle pillar of the FEAT document
- EventFEAT Principles published (12 Nov 2018)Supervisory expectation
Publication event of the instrument
- ConceptFEAT principle: EthicsSupervisory expectation
Principle pillar of the FEAT document
- ConceptFEAT principle: AccountabilitySupervisory expectation
Principle pillar of the FEAT document
- ConceptFEAT principle: TransparencySupervisory expectation
Principle pillar of the FEAT document
- ObligationFEAT Principle 01: Fairness - justifiability)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 02: Fairness - justifiability)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 03: Fairness - accuracy and bias)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 04: Fairness - accuracy and bias)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 05: Ethics)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 06: Ethics)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 07: Accountability - internal)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 08: Accountability - internal)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 09: Accountability - internal)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 10: Accountability - external)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 11: Accountability - external)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 12: Transparency)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 13: Transparency)Supervisory expectation
Numbered principle in FEAT Section 4
- ObligationFEAT Principle 14: Transparency)Supervisory expectation
Numbered principle in FEAT Section 4
- ConceptDefinition of AIDASupervisory expectation
Definition in FEAT Section 3
- InstrumentConsultation Paper on Proposed Guidelines on Artificial Intelligence Risk Management for Financial Institutions (P017-2025)Consultation
CP para 2.4 and footnote: the Guidelines complement MAS' FEAT principles, which continue to apply
- InstrumentMindForge AI Risk Management Toolkit (Project MindForge phase 2)Guidance
Operationalisation Handbook Appendix D maps Handbook considerations to the 14 FEAT Principles
- InstrumentABS Handbook on Generative AI Guardrails in BankingGuidance
ABS foreword references Project MindForge, 'based on the Veritas initiative and FEAT Principles'
Verified against the official source on 2026-08-17. GAGE is not affiliated with or endorsed by any agency named here, and nothing on this page is legal advice. How this is built and checked.