Employers may be entering a new era of accountability when it comes to artificial intelligence in hiring. A recent class-action lawsuit is signaling a shift in how AI-driven recruitment tools are being scrutinized—and the implications could be far-reaching.
At the center of the case is Kistler et al. v. Eightfold AI Inc., which challenges the practices of Eightfold AI, a widely used talent intelligence platform. The lawsuit alleges that the company compiled and used applicant data without proper disclosure, raising concerns about transparency and fairness in automated hiring processes.
Allegations Around Data and TransparencyÂ
According to the complaint, the platform creates profiles of job seekers by pulling in data from various third-party sources, including social media activity, public repositories like GitHub, location data, and tracking technologies. This information is allegedly used to generate a score predicting a candidate’s likelihood of success in a given role.Â
The plaintiffs claim these scores are shared with employers—such as Microsoft and Morgan Stanley—without ever being disclosed to the candidates themselves. In some cases, applicants may be filtered out before a human recruiter even reviews their resume, with no explanation or opportunity to correct potential inaccuracies.Â
A spokesperson for Eightfold, Kurt Foeller, told Reuters that the company does not scrape social media and instead relies on data provided directly by candidates or its customers. He emphasized the company’s commitment to responsible AI, transparency, and compliance with applicable laws.Â
A Question of ClassificationÂ
The core legal argument in the case is whether a company like Eightfold should be treated as a Consumer Reporting Agency (CRA).
If so, it would be subject to strict requirements around how personal data is collected, used, and disclosed in employment decisions.Â
Historically, platforms like Eightfold have been viewed as software providers rather than entities responsible for consumer reporting. This lawsuit challenges that distinction, arguing that AI-generated candidate scores should be treated with the same level of legal scrutiny as traditional background checks.Â
A Broader Trend in AI LitigationÂ
Eightfold is not the only company facing legal challenges. Workday, a leader in HR technology, is currently defending a class-action lawsuit alleging that its AI-driven screening tools disproportionately disadvantage older applicants, as reported by HR Executive.Â
Industry experts see these developments as a turning point.
Sarah Smart recently noted that AI is already shaping critical employment decisions—determining who gets hired, promoted, or overlooked.
Regardless of how these cases are resolved, they highlight the growing need for HR leaders to understand both the capabilities and risks of AI systems.Â
Looking AheadÂ
This case, currently pending in California’s Superior Court for the County of Contra Costa, may ultimately redefine how AI hiring tools are classified, regulated, and implemented.
More broadly, it underscores a growing expectation: that technology used in hiring must be not only efficient, but also transparent, accountable, and fair.Â
As AI continues to shape the future of work, the legal environment surrounding its use is expected to evolve alongside it.Â
Author:Â Jennifer Evancic
Jennifer.Evancic@ResourceManagement.com
Jennifer Evancic is a third-party auditor valued by creditors and large organizations for her knowledge in call monitoring within the collections industry. With meticulous attention to detail and a firm grasp of regulatory requirements, she ensures compliance with clients’ criteria and state and federal regulations.
Jennifer audits collections calls, ensuring they meet client-specific criteria and comply with regulations, providing valuable insights and maintaining industry standards.
Beyond her auditing responsibilities, Jennifer takes the lead in organizing and facilitating monthly call calibrations. These sessions serve as a collaborative forum where clients and their vendors come together to discuss call monitoring results and address any findings or areas for improvement. Jennifer’s guidance fosters open communication and ensures alignment between clients and vendors, driving continuous improvement in collections practices.
Jennifer stays up-to-date with compliance and industry best practices by participating regularly in peer meetings, regulatory updates and industry webinars. This keeps her informed about emerging issues and ensures she remains a knowledgeable leader in collections compliance.
