Dozens of former Meta employees have filed a lawsuit in the Northern California federal court, claiming that the company used artificial intelligence to select workers for massive layoffs. According to The Guardian, Meta’s AI systems tracked keystrokes and mouse activity to assess productivity, handing out lower performance scores to staff who were absent for medical reasons. Among the plaintiffs are a woman who was fired just two days before giving birth, an engineer whose rating dropped after a work‑related injury, and a manager dismissed after 16 days of sick leave. The suit demands a halt to the terminations, an audit of Meta’s algorithms, and compensation that could include reinstatement and back pay.
Meta contests the allegations, insisting that all termination decisions were made by human managers, not bots. Legal experts note that AI‑driven performance reviews raise new questions about workplace privacy and fairness, especially when health‑related absences affect scoring. Observers point out that similar algorithmic tools have already sparked debates in other tech firms, highlighting the need for transparent metrics and human oversight. The case could set a precedent for how courts treat AI‑based HR decisions in future labor disputes.
Critics also warn that reliance on automated productivity tracking may inadvertently penalize employees with legitimate medical conditions, a risk that regulators are beginning to address. Industry analysts suggest that companies should combine AI analytics with regular human checks to avoid biased outcomes. The unfolding litigation underscores a growing tension between technological efficiency and employee protections in the modern office.
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