A group of twenty-six anonymous employees has initiated a landmark lawsuit against Meta, alleging that the tech giant utilized AI-driven tools to unfairly target workers with disabilities or those who had recently taken medical leave during mass layoffs. The plaintiffs argue that Meta’s reliance on automated productivity metrics and AI-based performance rankings disproportionately penalized staff members who were absent for health reasons or family care obligations. Seeking to halt the finalization of their terminations, the workers claim these actions violate both federal and state laws regarding discrimination and retaliation, marking a significant legal challenge against the opaque application of AI in corporate restructuring.

The complaint details a sophisticated digital infrastructure used by Meta, including large language models and productivity trackers that monitored everything from keystrokes and screen activity to internal communications. By allegedly failing to audit these systems for bias, the plaintiffs contend that Meta ignored regulations in jurisdictions like California and New York that govern the use of automated decision-making tools. While a company spokesperson has denied the allegations, insisting that workforce decisions remain human-led, this case serves as a critical test for the tech industry as companies increasingly integrate AI into HR processes while facing growing scrutiny over algorithmic fairness.