Twenty-six former Meta employees have filed a lawsuit alleging the company deployed biased artificial intelligence tools to target workers on leave for dismissal. The claim centres on a ranking system built from internal data that failed to exclude staff taking parental or medical leave. According to the legal documents, this oversight meant those individuals were disproportionately selected for redundancy because the scoring mechanism effectively penalised them for exercising protected rights. The plaintiffs argue the AI tools did not account for these absences when determining which roles were surplus to requirements.
This case highlights the immediate risks of automating high-stakes personnel decisions without rigorous oversight. When algorithms drive hiring and firing, hidden biases in training data can translate into legal liability and unfair treatment of vulnerable staff. The outcome sets a precedent for how tech firms must audit their automated workforce management systems before deploying them at scale.
- The suit names a “constellation” of internal AI tools used for performance scoring.
- Employees claim the system penalised protected leave rather than ignoring it.
- Reuters reported the filing details earlier this week.
