Meta layoffs: 26 ex-employees sue, allege medical info was used to target them
Twenty-six former Meta employees have filed a lawsuit alleging the company used biased, AI-driven performance metrics to target vulnerable workers for layoffs. Meta has denied the claims, asserting that workforce decisions are made by humans rather than algorithms.
Why it matters
This case highlights the growing legal scrutiny regarding the use of AI in human resources and the potential for algorithmic discrimination in the workplace.
Facebook parent company Meta is facing a major legal battle after 26 of its former employees filed a federal lawsuit accusing the social media giant of using biased, AI-powered software to select workers for mass layoffs. The lawsuit filed in a California federal court claims the company’s internal system unfairly targeted vulnerable employees.Citing the plaintiffs, news agency Reuters claims that the company relied heavily on automated performance metrics, including digital productivity tracking and individual AI token usage, when executing its massive job cuts.The workers also argue that using automated tracking inherently disadvantaged employees who had to miss work due to legitimate medical conditions, effectively penalising them for taking time off.Former employees allege AI discriminationThe legal challenge follows Meta’s cost-cutting measures, where the company announced plans to eliminate 10% of its global workforce, resulting in nearly 8,000 layoffs starting in May.The 26 plaintiffs, who filed the lawsuit anonymously, span six US…
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