A federal judge has ruled that Workday Inc. must face litigation regarding claims that its AI-driven applicant screening tools discriminate against job seekers based on race, age, and disability. US District Judge Rita Lin’s recent decision allows the plaintiff to pursue claims under California’s Fair Employment and Housing Act (FEHA), rejecting the company’s argument that it cannot be held liable for hiring practices involving out-of-state applicants.
The Legal Basis for the Ruling
The lawsuit, Mobley v. Workday, Inc., alleges that the company’s automated screening software systematically filtered out Derek Mobley, a Black applicant with a disability who is over the age of 40. According to the court documents, Mobley claimed he was rejected from more than 100 positions after his applications were processed by Workday’s algorithms.
Workday had sought to dismiss the case, arguing that it does not qualify as an "employer" under federal or state anti-discrimination statutes. However, Judge Lin determined that the company could be treated as an "agent" of an employer, making it potentially liable for discriminatory conduct. By allowing the FEHA claims to proceed, the court affirmed that companies providing hiring technology can be held accountable if their systems facilitate discriminatory outcomes, even when the employer using the software is based in another state.
How AI Systems May Perpetuate Bias
The core of the dispute involves how AI models process candidate data. Plaintiffs argue that even when an algorithm is not explicitly programmed to filter for protected characteristics, it may use proxies to reach the same result. For instance, the system might interpret long employment gaps as a sign of disability or specific educational backgrounds as a proxy for race or socioeconomic status.
According to Valence Howden, an advisory fellow at Info-Tech Research Group, the case underscores the risks of relying on historical data to train AI models. If an applicant tracking system is trained on past hiring decisions that were themselves biased, the AI may inadvertently replicate those discriminatory patterns. Howden notes that organizations often struggle to intervene because the software frequently performs the "weeding out" process before a human recruiter ever sees a candidate’s profile.
Workday’s Defense and AI Governance
Workday maintains that its tools do not make final hiring decisions and are designed to prioritize human oversight. In statements provided to the media, the company asserted that its software evaluates candidates based solely on job qualifications rather than protected traits.
Kelly Trindel, Workday’s Chief Responsible AI Officer, stated that the company employs a dedicated team of psychologists and data scientists to audit its systems. According to Trindel, Workday’s governance program aligns with standards established by the National Institute of Standards and Technology (NIST) and the International Standards Organization (ISO). The company emphasizes that its platform is intended to assist human recruiters by surfacing relevant information, not by replacing the human judgment required for hiring.
Implications for Enterprise Recruitment
This case serves as a significant legal test for the broader HR technology industry. Other companies, including Eightfold AI, have faced similar class-action scrutiny regarding the use of online data to predict candidate fit.
For enterprise leaders, the ruling signals a shift toward stricter accountability for third-party software. Industry experts suggest that companies can no longer treat AI bias audits as a "point-in-time" exercise. Instead, legal and HR departments are increasingly expected to:
- Document the decision-making logic of AI screening tools.
- Conduct ongoing testing for disparate impacts across protected groups.
- Ensure that human intervention occurs at meaningful stages of the recruitment funnel.
As the litigation in Mobley v. Workday continues, the court’s final determination on the scope of FEHA liability will likely set a precedent for how software providers and their corporate clients manage the legal risks associated with automated hiring.
Worth a look