A Compliance Crossroad:
Where AI Intersects Workplace Fairness
Course Introduction
INTRODUCTION
AI may influence the decision. Who carries the risk when it is challenged?
AI is increasingly used in recruitment, performance management, workforce planning and restructuring. When an AI-influenced employment decision is challenged, attention quickly turns to the employer: who made the decision, what information was relied upon, and whether the reasons can be explained.
Singapore’s approach to AI in employment is still developing, but employers are not operating in a regulatory vacuum. Existing employment obligations and fair employment guidelines already apply, and the Workplace Fairness Act is targeted to take effect by the end of 2027. Decisions made now may still be questioned later, as employee expectations and the regulatory position continue to develop, particularly where discrimination or procedural fairness is in question.
This webinar examines the risks before an employment decision is made and the organisational response once it is challenged. Through practical scenarios, participants will explore hidden bias, meaningful human oversight, grievance handling, workplace investigations and the evidence needed to support a defensible decision.
Led by litigation practitioner Nadia Moynihan, the programme focuses on the practical and
legal questions employers face, rather than the technical workings of AI systems.
Key Highlights
Participants will learn how to:
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Recognise discrimination and fairness risks in AI-assisted employment decisions.
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Understand existing employment obligations and the forthcoming Workplace Fairness Act.
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Question AI recommendations, recognise the risk of hidden bias and understand what meaningful human oversight requires.
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Identify the evidence and documentation that matter when a decision is challenged.
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Handle AI-related grievances, workplace investigations and Due Inquiry.
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Assess response options for disputed performance decisions, restructuring and termination.
Two sessions. One emerging compliance challenge.