AI Bias Lawsuit Against Workday Reaches Next Stage (www.lawandtheworkplace.com)

A federal court in the Northern District of California has conditionally certified Age Discrimination in Employment Act (ADEA) claims in Mobley v. Workday, allowing a sprawling collective—potentially hundreds of millions of job applicants—to receive notice that Workday’s AI-based applicant recommendation system may have had a disparate impact on candidates by age (and allegedly race and disability). The court previously denied Workday’s motion to dismiss and concluded that the common policy—use of Workday’s tools to score, sort, rank, or screen applicants—was sufficiently alleged to justify collective treatment, rejecting Workday’s argument that varying employer clients or individual qualifications defeat commonality. The plaintiff also presses an “agent” theory that Workday, though not itself an employer, can be liable for discriminatory outcomes. Technically, the suit targets algorithmic decision-making trained on employer data, claiming the tools reflect employer biases and biased training sets that systematically disadvantage certain groups. Workday disclosed that 1.1 billion applications were rejected using its software during the period at issue, underscoring the potential scale. The ruling is a major early court test of large-scale hiring AI and signals heightened legal risk for vendors and employers deploying automated screening: careful dataset curation, bias testing, explainability, and compliance with anti-discrimination laws will be central to mitigation and future litigation.