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
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.