Twenty-six former Meta employees are suing the company, alleging it relied on internal AI tools to unfairly target workers on leave during mass layoffs, according to The Verge.
A group of 26 former Meta employees is suing the company over claims that it used artificial intelligence tools to unfairly single out workers for layoffs, according to a report by The Verge.
The lawsuit alleges that Meta determined which employees to dismiss based on performance data collected by what the plaintiffs describe as a “constellation” of internal AI tools. The former workers say this system was used to target employees who were on leave.
The case was reported earlier by Reuters, according to The Verge. The claims center on how the company selected staff for dismissal during its layoffs, with the plaintiffs arguing the process was biased against workers who were away from their jobs.
The lawsuit raises questions about the growing role of automated systems in workplace decisions, including how performance data is gathered and applied when companies decide who to let go. The plaintiffs contend that reliance on these tools produced unfair outcomes for the affected employees.
At this stage, the allegations remain claims made in a lawsuit and have not been proven. The available reporting does not include a response from Meta or details of the specific relief the former employees are seeking.
Why it matters
The case highlights concerns about how companies use AI to make decisions that directly affect people's jobs. As automated tools become more common in workplaces, questions about fairness, transparency and potential bias in layoff decisions are likely to draw increasing legal and regulatory attention.