FEAT Principle 03: Fairness, accuracy and bias
Is this legally binding?
Supervisory expectation. Not law. It is what your supervisor examines you against, which is not the same as optional.
FEAT Principle 3 (Fairness, accuracy and bias): data and models used for AIDA-driven decisions should be regularly reviewed and validated for accuracy and relevance, and to minimise unintentional bias.
From the source
“Data and models used for AIDA-driven decisions are regularly reviewed and validated for accuracy and relevance, and to minimize unintentional bias.”
Section 4 Summary of Principles, p.6
What this connects to
2 relations. Official relations are the ones the source documents state; anything marked GAGE analysis is our reading, not an agency's.
Cites2
- InstrumentPrinciples to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of AI and Data Analytics in Singapore's Financial SectorSupervisory expectation
Numbered principle in FEAT Section 4
- ConceptFEAT principle: FairnessSupervisory expectation
Principle sits under the fairness pillar
Learn this properly
This page tells you what FEAT Principle 03: Fairness, accuracy and bias is and whether it binds you. The AI Governance program teaches the whole discipline, with dedicated coverage of the Singapore governance stack and the MAS regime, and every topic is passed by explaining it back in your own words, graded against the source.
See the AI Governance programVerified 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.
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