Recommendations on Generative Artificial Intelligence (GenAI) use for SingHealth Duke-NUS Health Professions Educators

Introduction

Generative AI is increasingly part of how educators design and deliver learning, and how learners themselves learn. Its educational value depends not simply on what the technology can do, but on how and why it is used. These GenAI recommendations were synthesised from multiple institutional policies ^[1],[2],[3] and guidelines^[4] using Generative AI (GenAI), and subsequently reviewed and verified by the Learning & Experimenting with AI Partnership between SingHealth and Duke-NUS Education entities through AMEI (LEAP) advisory and workgroups. They provide key considerations for health professions educators when using GenAI in educational practices involving SingHealth learners, NUS/Duke-NUS students, residents, and other trainees. 

They are intended as foundational considerations rather than a fixed or exhaustive set of rules. As GenAI technologies and institutional practices continue to evolve, educators will need to apply these principles in context, guided by educational purpose, appropriate human oversight, transparency, accountability, data protection and institutional governance.

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Comprehensive Guide

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Worked Examples

References:

¹Governance of AI Systems Policy (NUS)
²SingHealth Policy for Governance of Artificial Intelligence
³Policy for Use of AI in Teaching and Learning (NUS)
⁴SingHealth Guidelines on Use of Generative AI Technologies