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26 Meta Employees Sue Company Over AI-Driven Layoffs Targeting Disabled and Leaved Workers

Published
Score
31

Why it matters

Twenty-six current and former Meta employees filed a federal lawsuit Monday in the U.S. Northern District Court of California alleging the company used artificial intelligence systems to systematically target workers with disabilities or those on protected medical, parental, or family leave during its May 2024 mass layoff. The plaintiffs claim Meta replaced managerial discretion with AI-driven metrics—including productivity scores, keystroke monitoring, and AI token consumption data—to generate termination lists, effectively penalizing employees for approved absences. The complaint names specific tools including Metamate, Meta's internal AI assistant, and employee-built monitoring dashboards that allegedly recorded absences as "disengagement" and suppressed performance ratings. One plaintiff was terminated while on approved pre-birth leave; another alleges a manager discouraged medical leave by warning that leadership would "definitely" fire them if they took it.

The lawsuit invokes federal and state anti-discrimination statutes protecting pregnancy and disability status. The plaintiffs, anonymous employees from six states and Washington, D.C., argue Meta failed to adjust its algorithms to account for approved absences, thereby violating Title I of the Americans with Disabilities Act and comparable state laws. Meta has denied the allegations, stating that workforce decisions were "made by people, not AI."

This case represents the first major legal challenge to an American corporation's use of AI in executing layoffs and could establish precedent for how employment discrimination law applies to algorithmic decision-making. Attorneys should monitor the outcome closely: a plaintiff victory could require companies to conduct bias audits of HR algorithms and document human review of termination recommendations. The case also tests enforcement of recently enacted algorithmic bias screening requirements in California and New York City, making it a bellwether for corporate AI governance in hiring and termination decisions.

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