The FEAT Principles are the Monetary Authority of Singapore’s guidance for how financial institutions should use AI and data analytics responsibly: Fairness (decisions don’t unintentionally disadvantage any group), Ethics (data and models are used in ways consistent with the institution’s own ethical standards), Accountability (a named party owns the outcome of every AI-driven decision), and Transparency (customers can find out that AI was involved, and can ask for an explanation).
They were written for banks and insurers, but the four categories map cleanly onto AI evaluation more broadly. Fairness and Ethics test what a system should never do; Accountability and Transparency test whether a human can be held responsible for what it did. Financial firms already build test suites around FEAT because MAS expects it of them; the framework doesn’t stop being useful the moment a company falls outside MAS’s remit.
Any Singapore business without its own established AI governance checklist can do worse than starting from these four questions, whether or not it is regulated by MAS.