A group of 26 current and former Meta employees has filed a lawsuit against the social media giant, alleging that the company utilized discriminatory artificial intelligence systems to determine who would be terminated during its May layoffs. The legal complaint, filed in the U.S. District Court for the Northern District of California, claims that Meta’s automated decision-making tools disproportionately targeted workers who had taken approved medical, family, or pregnancy-related leave.

According to the plaintiffs, Meta’s internal AI systems relied on performance metrics, productivity scores, and “AI-token consumption” to evaluate employee value. Because these metrics naturally drop or cease to accumulate when an employee is away on legally protected leave or managing a disability, the algorithm allegedly flagged these individuals for termination. The lawsuit argues that using these automated metrics effectively penalized employees for taking approved time off, violating federal and state discrimination laws.

Meta has denied the allegations, asserting that human managers, rather than automated algorithms, make all workforce management and organizational decisions. However, the plaintiffs are seeking a preliminary injunction to halt their terminations pending an independent audit of the selection process. This legal battle mirrors a recent California federal court ruling against tech firm Workday, which allowed a lawsuit to proceed over claims that its AI-powered hiring software discriminated against applicants, highlighting a growing legal scrutiny over the use of AI in human resources.

Key Takeaways

• A group of 26 Meta employees has sued the company, claiming its AI-driven layoff selection process discriminated against workers on protected leave.
• The lawsuit alleges that Meta's algorithms relied on metrics like productivity and token consumption, which unfairly penalized employees with approved absences or disabilities.
• Meta denies the claims, stating that human managers make all staffing decisions, but the case highlights a growing wave of legal challenges against AI in human resources.

Editor’s Analysis & Impact

The lawsuit against Meta represents a critical turning point in the intersection of artificial intelligence and labor law. As corporations increasingly integrate automated systems to optimize workforce management, they face unprecedented legal risks regarding algorithmic bias. Algorithms are inherently historical and quantitative; they struggle to contextualize human variables such as legally protected leave or disability accommodations. If the court rules in favor of the plaintiffs, it could set a massive precedent, forcing companies to implement rigorous human-in-the-loop oversight and independent audits of their HR technologies. This case, alongside the recent Workday ruling, signals that the era of unchecked algorithmic management is coming to an end, and developers of enterprise AI must prioritize compliance with civil rights and labor laws to avoid costly litigation.

Frequently Asked Questions

Q: What are the core allegations against Meta in this lawsuit?
A: The plaintiffs allege that Meta used an internal suite of AI tools to select employees for layoffs. They claim these algorithms relied on metrics like productivity and AI-token consumption that naturally penalize employees who have taken approved medical, family, or pregnancy leave, thereby violating discrimination laws.

Q: How has Meta responded to these claims?
A: Meta has denied the allegations, stating that all workforce management and organizational decisions are made by human managers rather than artificial intelligence.

Q: Is this the first lawsuit of its kind regarding AI in the workplace?
A: No. This lawsuit follows a recent federal court ruling in California against Workday, which allowed a class-action lawsuit to proceed over allegations that its AI-powered applicant screening tools discriminated against job seekers.