Minimise bias in data and model
Is this legally binding?
Guidance. Voluntary guidance. Best practice, not obligation, until a contract or a regulator cites it.
Organisations should identify and minimise inherent bias in datasets and models, e.g. selection and measurement bias, using representative data and appropriate mitigation measures.
From the source
“Minimise bias in data and model”
Summary of the Model AI Governance Framework (Compendium Vol 2), p.4
What this connects to
1 relations. Official relations are the ones the source documents state; anything marked GAGE analysis is our reading, not an agency's.
Learn this properly
This page tells you what Minimise bias in data and model 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.
Readers of this also ask
GAGE briefings tell you which AI regulation deadlines are coming, what they actually require of you, and when a program opens.