Your AI vendor’s fairness audit isn’t a strong defense. As AI moves from hiring into areas such as scheduling, compensation, performance reviews, and other employment decisions, employers are inheriting legal exposure they never anticipated. “The algorithm did it” isn’t a strategy that regulators or plaintiffs are buying. Join this webinar as the speakers walk through the specific systems creating exposure, offer real-world examples of where bias hides in AI-generated assessments and written outputs, and discuss what defensible oversight actually looks like in practice. Pete Bell, a member of Ogletree’s data analytics team, will join the discussion as they address why structuring this review under privilege is not optional; it’s what differentiates identifying risk from creating discoverable evidence of it.