Lawsuit Over Workday's AI Hiring Tool Moves Forward

- The plaintiff, Derek Mobley, is a Black man over the age of 40 with anxiety and depression who claims he was rejected for over 100 jobs that used Workday's AI screening tools. The lawsuit alleges these tools discriminate based on race, age, and disability. - The core of the lawsuit is the "disparate impact" theory, which argues that Workday's facially neutral software has a disproportionately negative effect on protected groups, even without direct intent to discriminate. Mobley's complaint suggests the AI could have inferred his race from his graduation from a historically Black college and his age from his graduation year. - A key legal question is whether Workday, as a software vendor, can be held liable as an "agent" of the employers using its platform. In July 2024, the court denied Workday's motion to dismiss, allowing the case to proceed on the theory that the software actively participates in hiring decisions rather than just implementing employer criteria. - The court granted preliminary certification for a nationwide collective action under the Age Discrimination in Employment Act (ADEA) in May 2025. This allows for the notification of potentially millions of job applicants over the age of 40 who may have been affected. - Workday denies the allegations, stating its AI tools do not make hiring decisions and that customers maintain full control and human oversight. The company argues that its technology compares a candidate's qualifications with the employer's listed job requirements and is not trained to identify protected characteristics. - The U.S. Equal Employment Opportunity Commission (EEOC) has intervened by filing an amicus brief supporting the plaintiff. The EEOC argues that AI vendors can bear direct liability under federal anti-discrimination laws, similar to traditional employment agencies. - The lawsuit is one of the first major legal challenges to the use of AI in hiring and could set a significant precedent for how algorithmic tools are regulated under employment law. It has drawn comparisons to another case, *Harper v. Sirius XM*, which also alleges racial discrimination by an AI-powered hiring tool. - This case highlights the growing legal risks for companies using third-party AI hiring tools, as they may be held liable for the discriminatory impact of those algorithms. Experts suggest that human oversight is critical to mitigate bias and that employers should demand transparency from vendors on how their AI models are developed and tested.