Meta Faces Lawsuit Alleging AI Biased Employee Layoff Decisions

A new lawsuit filed against Meta Platforms in a federal court in Oakland, California, accuses the company of using artificial intelligence tools and internal performance metrics to disproportionately target employees with disabilities, medical conditions, or protected leaves for layoffs. Former Meta employees claim that AI-driven systems and digital activity measurements unfairly flagged workers who were on legally protected medical, family, or parental leave as less productive or less active, leading to discriminatory outcomes.

Meta denies these allegations, stating that all layoff decisions were made by human managers and not solely by AI systems. The company acknowledges using technological tools but insists that final decisions were human-driven. The lawsuit highlights a broader concern about AI's role in workplace decisions, questioning whether seemingly neutral algorithms can inadvertently discriminate against protected groups by penalizing legally excused absences.

The plaintiffs seek a court injunction to halt or delay layoffs during the legal process, citing risks such as loss of health insurance, income, and immigration status. The case raises critical questions about the increasing reliance on AI for employee evaluation and management, especially as many organizations adopt similar technologies for real-time monitoring and performance assessment.

If the court finds merit in the claims, this lawsuit could set a precedent on the legal limits of AI use in employment decisions, impacting not only Meta but other companies using automated tools for workforce management. The case underscores the challenge of balancing technological efficiency with fairness and legal protections in the modern workplace.