Meta's AI just got its first discrimination lawsuit. 26 employees say it targeted disabled workers for layoffs. Your algorithm is next.

Meta's AI layoff system just faced its first courtroom challenge.

26 employees sued Meta claiming its "constellation of internal AI systems" disproportionately selected workers with disabilities and those on medical leave for termination.

The tools: Metamate, an internal LLM. "Second brain," which tracked all communications and documents. Productivity scores built from keystrokes, screen content, emails, and browser history. AI token usage as a performance proxy.

The problem: none of these metrics can be accumulated by someone on protected leave. The algorithm didn't account for absence — it just scored lower output. Medical leave became a performance failure. Pregnancy became an efficiency gap.

Meta's response: "Workforce management and organizational decisions were and are made by people, not AI."

The court hearing was yesterday, August 24.

This is the first lawsuit against a major US company challenging AI use in conducting layoffs. It names FMLA, ADA, the Pregnancy Discrimination Act, and California's new AI bias testing laws.

If your enterprise uses AI for workforce decisions — performance scoring, talent ranking, attrition modeling — this lawsuit just defined your liability surface. Audit your algorithms now. Test for leave bias. Document every human override. The next plaintiff's attorney is already reading this filing.

TITLE: Meta's AI just got its first discrimination lawsuit. 26 employees say it targeted disabled workers for layoffs. Your algorithm is next.
BODY:
Meta's AI layoff system just faced its first courtroom challenge.

26 employees sued Meta claiming its "constellation of internal AI systems" disproportionately selected workers with disabilities and those on medical leave for termination.

The tools: Metamate, an internal LLM. "Second brain," which tracked all communications and documents. Productivity scores built from keystrokes, screen content, emails, and browser history. AI token usage as a performance proxy.

The problem: none of these metrics can be accumulated by someone on protected leave. The algorithm didn't account for absence — it just scored lower output. Medical leave became a performance failure. Pregnancy became an efficiency gap.

Meta's response: "Workforce management and organizational decisions were and are made by people, not AI."

The court hearing was yesterday, August 24.

This is the first lawsuit against a major US company challenging AI use in conducting layoffs. It names FMLA, ADA, the Pregnancy Discrimination Act, and California's new AI bias testing laws.

If your enterprise uses AI for workforce decisions — performance scoring, talent ranking, attrition modeling — this lawsuit just defined your liability surface. Audit your algorithms now. Test for leave bias. Document every human override. The next plaintiff's attorney is already reading this filing.