Key Takeaways:
A novel lawsuit against Meta Platforms shows why proving AI discrimination in the workplace remains nearly impossible for employees.
Twenty-six Meta Platforms employees claim the company used AI tools to discriminatorily select them for layoffs — a case that exposes the near-impossible burden workers face in proving algorithmic bias.
"Even if you establish that a particular system would produce discriminatory outcomes left and right, you have no way of sharing that information with other employees," Christine Webber, co-chair of the civil rights and employment practice at Cohen Milstein Sellers & Toll, said. Her firm is not involved in the case.
The plaintiffs allege Meta consulted AI systems including an internal large language model assistant called "Metamate," an employee-trained "second brain" that tracked communications and documents, and a productivity score derived from scanning keystrokes, screen content, emails and browser history. Meta has denied using AI in any layoff decisions and said humans made all choices concerning the nearly 8,000 job cuts announced earlier this year.
U.S. District Judge William Orrick last week declined to block Meta from finalizing the terminations, identifying a fundamental obstacle: the plaintiffs "were not in the rooms where it happened." A hearing on whether to issue a preliminary injunction is scheduled for Aug. 24, and the losing side can appeal.
The case helps explain why a widely predicted wave of employment lawsuits over AI has yet to materialize. Workers typically have little insight into how AI systems function in their workplaces, and most have signed arbitration agreements that prevent them from banding together in class actions or putting their case before a jury. The arbitration process is confidential, shielding unfavorable evidence from wider disclosure.
Meta said in court filings that humans made all decisions concerning the layoffs and denied treating AI usage as a basis for identifying workers to terminate or conducting performance reviews. Orrick said he was bound to take Meta at its word since the plaintiffs could not present evidence to rebut those claims.
The plaintiffs' lawyers acknowledged the evidence gap, calling on current and former Meta employees to contact them with knowledge of how AI was used in the selection process. "Meta holds virtually all the relevant information," they said in a joint statement.
One of the few similar cases to emerge involves Workday, which faces claims that its human-resources management software unlawfully filtered out job applicants based on race, age and disability. Arbitration is not an issue in that case because Workday does not have agreements with its customers' applicants. Workday denies the allegations.
The Meta lawsuit, while seeking only temporary relief, could set a precedent for how courts handle AI accountability in employment decisions. If the plaintiffs succeed in gathering evidence before the August hearing, it may increase compliance costs for major corporations using AI in hiring and firing. Meta shares, which trade on the Nasdaq, face limited near-term risk, but the case adds regulatory scrutiny to the company's AI deployment.
This article is for informational purposes only and does not constitute investment advice.
