Lawsuit Alleges Meta Used AI for Layoff Decisions

A lawsuit filed yesterday by 26 former Meta employees alleges that the company utilized internal artificial intelligence systems to make layoff decisions, rather than human judgment. The complaint, lodged in the US District Court for the Northern District of California, claims these AI tools, including one referred to as 'Metamate,' along with employee-trained agents and activity monitoring data, were used to score, rank, and select employees for termination. The plaintiffs contend that this AI-driven process disproportionately targeted workers with disabilities and those who had taken protected medical or family leaves.

The lawsuit further asserts that employees were evaluated, in part, based on their usage of Meta's own AI tools. Internal dashboards reportedly categorized employees by their AI adoption stages, using labels such as 'AI Native,' 'AI First,' and 'AI Enabled.' This scoring mechanism allegedly contributed to the selection of individuals for the 8,000-employee layoff round. The plaintiffs are seeking damages and equitable relief, arguing that Meta's reliance on these AI systems constituted unlawful discrimination.

Meta has not yet formally responded to the lawsuit's allegations. The case highlights growing concerns about the ethical implications and potential biases embedded in AI systems used for critical human resource decisions. The plaintiffs' legal team stated that the termination list was not the product of managers' considered judgment but rather an algorithmic outcome. This legal challenge could set a precedent for how AI is deployed in workforce management and the accountability of companies for AI-driven employment actions.