Twenty-six current and former Meta Platforms Inc. employees have filed a lawsuit alleging the company used AI to select workers for layoffs [1].
The case highlights the legal risks companies face when integrating artificial intelligence into human resources, particularly regarding federal and state anti-discrimination laws.
The plaintiffs allege that Meta utilized internal AI systems to generate scores and ratings for employees during a workforce reduction [1]. According to the lawsuit, these systems disproportionately targeted workers who were on protected medical, parental, or family leave [2]. The employees said this process violated statutes designed to protect workers from discrimination based on their health or family status [3].
This legal action follows a period of significant restructuring at the company. Meta announced the firing of 8,000 employees earlier this year [1]. The lawsuit suggests that the AI-driven selection process was not neutral but instead penalized those away from the office for legally protected reasons [4].
The plaintiffs seek damages and a review of the company's automated termination practices. The lawsuit was filed in mid-July and has gained attention as tech firms increasingly automate management tasks [2]. Meta said it denies the allegations that its systems were discriminatory [1].
The case centers on whether an algorithm can be considered biased if its output results in the firing of a protected class of workers, even if the AI was not explicitly programmed to target them [3]. This brings into question the transparency of the "black box" systems used to determine professional viability and performance scores [4].
“Meta announced the firing of 8,000 employees earlier this year.”
This lawsuit represents a critical test for 'algorithmic accountability' in the corporate sector. If the court finds that Meta's AI unfairly targeted employees on leave, it could set a legal precedent that companies are liable for the discriminatory outcomes of their AI, regardless of the intent behind the software's design. This may force tech companies to implement rigorous human audits of AI-generated performance scores before executing mass layoffs.
