Twenty-six former Meta employees have filed a lawsuit against the company, alleging that an internal artificial intelligence platform was used to single out workers for job cuts, with a disproportionate impact on those who had taken protected leave. The suit, filed in a U.S. court, claims that Meta's AI system, known as Checkpoint, relied on productivity metrics and large language model (LLM) token usage to cull staff during the company's earlier reduction in force.
According to the complaint, the plaintiffs—whose names are redacted—include engineers, managers, researchers, designers, and a director who had direct access to the AI platform. Nearly half of the plaintiffs say their termination followed maternity or parental leave, while others point to medical leave for disabilities, bereavement, or family care. The suit argues that Checkpoint failed to distinguish between a worker's leave and a lack of engagement, effectively penalizing those who took time off.
Allegations of Discouraged Leave
The lawsuit includes a specific allegation from an anonymous director who claims he was warned by a manager not to take FMLA (Family and Medical Leave Act) leave that his doctor had recommended. The manager reportedly expressed concern that such leave would be held against him in the reduction in force. The director's account aligns with the broader claim that Checkpoint used protected leave as a negative factor in its assessments.
Meta has disputed the core allegations. In a statement to Reuters, a company spokesperson said, "Workforce management and organizational decisions were and are made by people, not AI." The spokesperson did not provide further details on how Checkpoint was used in the layoff process.
The current complaint seeks to block Meta from laying off the 26 plaintiffs. Due to legal agreements with the company, each plaintiff will need to file an independent suit to pursue individual claims, as reported by Reuters.
This case adds to the ongoing scrutiny of how companies deploy AI in human resources, particularly in high-stakes decisions like layoffs. While Meta maintains that human judgment prevailed, the lawsuit raises questions about the transparency and fairness of algorithmic tools in workplace management.
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