A coalition of current and former Meta employees has filed a lawsuit alleging that the social media giant’s recent wave of layoffs was discriminatory, specifically citing the company’s use of artificial intelligence. The plaintiffs claim that Meta’s AI systems failed to account for approved leaves of absence, including medical and family leave, as well as accommodations for disabilities, leading to the termination of employees who were on such protected statuses.
The lawsuit, filed in the U.S. Northern District Court of California, encompasses 26 unnamed workers who were part of the approximately 10% of Meta’s workforce impacted by the May layoff round. The core of the complaint rests on the assertion that Meta’s “constellation of internal artificial-intelligence systems” utilized performance ratings, calibration scores, productivity metrics, and AI-token consumption data. The plaintiffs argue that these metrics are inherently disadvantageous to employees on protected leave or those whose output is affected by a disability, as these factors prevent the accumulation of the very data points used in the AI’s assessment.
Specifically, the legal filing points to metrics like “AI-token consumption,” which has become a common proxy for overall AI usage within organizations. The plaintiffs contend that this metric, among others, was employed in a manner that disproportionately targeted individuals who were on leave, thereby artificially suppressing their data and making them appear less productive or valuable to the company’s AI-driven evaluation.
Meta, however, has strongly refuted these allegations. A spokesperson for the company stated that the claims “lack merit and are not based on facts.” Meta maintains that “Workforce management and organizational decisions were and are made by people, not AI.”
This lawsuit highlights the escalating concerns surrounding the integration of AI into employment practices and its potential to exacerbate existing inequalities. The plaintiffs are seeking a preliminary injunction to maintain the status quo of their employment at Meta, pending an independent audit of the algorithmically assisted selection process and the resolution of their claims through arbitration.
The timing of this lawsuit is notable, coming just weeks after a federal judge in California ruled that another tech firm, Workday, must face similar claims concerning the use of AI in hiring decisions. In that case, the judge allowed a lawsuit to proceed, alleging that Workday’s AI-powered job screening services violated state and federal anti-discrimination laws. Workday has denied these allegations, asserting that its AI recruiting software focuses solely on job qualifications and does not consider protected traits such as race, age, or disability. The company also emphasized its commitment to rigorous testing of its products under its Responsible AI program to ensure they do not negatively impact protected groups.
As AI continues its rapid advancement and deeper integration into business operations, legal and ethical frameworks are being tested. This Meta lawsuit is likely to be a significant case, potentially shaping how companies deploy AI in critical human resource functions and the legal ramifications thereof, particularly concerning employee protections and non-discrimination statutes. The intersection of advanced technology and fundamental labor rights presents a complex challenge that both legal systems and corporate ethics will need to navigate.
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