Artificial intelligence is rapidly becoming part of compensation, HR, and workforce decision-making. Yet as organizations increase their use of AI-powered tools, an important question remains: how do we ensure those tools support fair and equitable outcomes?

This panel brings together researchers and practitioners to examine real-world examples where AI-generated recommendations created unexpected risks related to compensation, pay equity, and workforce decisions. Through a Canadian lens, panelists will discuss how bias can emerge in AI-supported processes, how organizations identified potential issues, and what steps were taken to improve governance and oversight.

The discussion will explore both HR-specific applications and broader enterprise AI tools that may influence workforce outcomes. Panelists will share lessons learned, practical approaches for evaluating AI outputs, and strategies for balancing innovation with responsible decision-making.

Attendees will leave with a better understanding of where AI-related risks can emerge, questions to ask when evaluating AI-driven recommendations, and practical considerations for building governance processes that support fairness, compliance, and sound business decisions.