Louis Tay, William C. Byham Professor of Industrial-Organizational Psychology at Purdue University and co-founder of ExpiWell, will address how psychological measurement can transform the way we detect and regulate bias in AI. As AI increasingly shapes consequential decisions in hiring, lending, and healthcare, public debates about algorithmic fairness often conflate three distinct concepts: difference, bias, and unfairness. This undermines both scientific evaluation and effective policymaking. Tay will discuss disentangle these concepts, providing principled approaches for evaluating bias in algorithmic assessments and large language model applications. The talk will conclude with implications for AI governance frameworks, anti-discrimination enforcement, and organizational accountability in an era of automated decision-making.