A US judge on Friday rejected a request from 26 Meta Platforms employees to block their impending layoffs. These employees claim Meta's artificial intelligence (AI) tools unfairly targeted them for job cuts because they have disabilities or took medical leave. The ruling means Meta can proceed with the layoffs, which began on July 22, while the workers pursue their discrimination claims in private arbitration.
US District Judge William Orrick in Oakland, California, stated that the workers failed to show "irreparable harm." This is a crucial legal standard required for an emergency order to stop the layoffs. The judge's decision allows Meta to continue its workforce reduction, which affects nearly 8,000 employees globally, or about 10% of its total workforce.
This case highlights growing concerns about the ethical implications and potential biases of AI in employment decisions. As Ghana and other nations increasingly explore AI integration across various sectors, the legal challenges faced by Meta could set precedents. These precedents might influence how companies deploy AI in human resources, particularly regarding fairness and non-discrimination. The broader economic context in Ghana, where technological adoption is a key policy focus, makes such developments particularly relevant for future regulatory frameworks.
A Meta spokesperson declined to comment on the ruling. However, the company has previously denied any wrongdoing, stating that human decisions, not solely AI, guided the layoff process. Lawyers for the plaintiffs, in a joint statement, acknowledged the denial but noted that Judge Orrick recognized the lawsuit raises "serious questions" about Meta's conduct. They also pointed out that the court might reconsider its decision if more evidence emerges regarding AI's role in the layoffs.
The immediate implication is that the 26 employees will lose their jobs, salaries, stock options, and employer-subsidized health insurance. This loss could significantly impact their medical care, including for pregnancies and other conditions. Decision-makers in Ghana's technology and labor sectors will closely watch the arbitration proceedings. The outcome could influence future policies on AI governance and worker protection in an increasingly automated global economy.
The lawsuit, filed on Monday, alleges that Meta used AI tools to measure productivity and AI token usage when selecting employees for termination. These metrics, the plaintiffs argue, disadvantaged individuals who took time off for medical conditions or family care. The company also reportedly used performance reviews that partly relied on employees' adoption of AI. This case is believed to be the first against a major US company challenging the alleged use of AI in conducting layoffs.
The plaintiffs had sought a temporary restraining order to block the layoffs. They argued that losing their jobs would cause irreversible harm. Meta, however, countered that any financial losses, such as salaries and stock options, could be recouped if the plaintiffs win their arbitration cases. The company also stated that employees would only lose employer-subsidized insurance, not their entire coverage.
Many large companies require employees to sign arbitration agreements, which typically mandate individual arbitration for workplace disputes instead of class-action lawsuits. While these agreements often include exceptions for temporary relief, such exceptions are usually invoked for issues like trade secret theft, not for layoffs of at-will employees. The anonymous plaintiffs include engineers, managers, researchers, and designers. They were notified of the layoffs in May, with finalization dates ranging from July 22 to later in August. Meta stated that laid-off workers lost access to company systems on May 20 and have not performed work since.
The lawsuit details that Meta allegedly used several internal AI-assisted systems to score and rank employees for termination. These systems included a large language model assistant called "Metamate," an employee-trained "second brain" that tracked communications and documents, and a productivity score derived from keystrokes, screen content, emails, and browser history. The plaintiffs claim Meta did not pause these systems during employees' vacations or legally protected leave periods, leading to lower AI adoption scores that contributed to their selection for layoffs.