Meta used artificial intelligence to tag workers who took protected leave for mass layoffs, according to a new lawsuit. The social media giant allegedly deployed AI systems to score and rank employees, disproportionately targeting those on maternity or disability leave. This case highlights growing concerns about AI bias in the workplace.
How Meta Used AI to Select Employees for Layoffs
The lawsuit, filed in federal court in California, claims Meta used a “constellation of internal artificial intelligence systems” to build termination lists. These systems included AI performance ratings and keystroke- and activity-monitoring data. The 26 plaintiffs argue that the company bypassed manager judgment, relying instead on automated tools.
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Meta’s workforce reduction of about 8,000 employees earlier this year is at the center of the dispute. The workers allege that AI inputs—such as productivity metrics—were unavailable during protected leave, leading to unfair targeting. For people with disabilities, reduced metrics further skewed the results.
Key Allegations in the Meta AI Lawsuit
- AI systems scored and ranked employees without human oversight
- Workers on protected leave were disproportionately selected
- Performance data was incomplete for those on medical or family leave
- Meta violated state laws in California, Colorado, and Illinois
Legal and Regulatory Context for AI in Hiring and Firing
States like California, Colorado, and Illinois have passed laws to protect workers from AI-related bias. These regulations target “automated decision systems” used in employment. The Meta lawsuit could set a precedent for how courts view AI-driven layoffs.
| Issue | Details |
|---|---|
| AI Tools Used | Performance ratings, keystroke monitoring, activity tracking |
| Protected Leave Impact | Missing data led to higher layoff risk |
| Legal Claims | Bias, privacy violations, breach of trust |
What Workers Are Seeking
The plaintiffs seek a preliminary ruling to stop Meta from finalizing layoffs. They also demand reinstatement, back pay, lost equity, benefits, and other damages. This case underscores the need for transparency in AI decision-making.
Broader Implications for AI in the Workplace
AI decision-making is becoming increasingly fraught, with employees raising concerns about bias and privacy. Regulators are scrutinizing the legality of such tools. The Meta lawsuit may influence how companies deploy AI for workforce management.
Comparison: Human vs. AI Layoff Decisions
| Factor | Human Managers | AI Systems |
|---|---|---|
| Context Understanding | High | Low |
| Bias Risk | Moderate | High (data-dependent) |
| Transparency | Variable | Often opaque |
FAQ
What AI tools did Meta use for layoffs?
Meta used AI performance ratings, keystroke monitoring, and activity-tracking data to score and rank employees for termination.
Why are workers on leave targeted?
AI systems rely on productivity metrics that are unavailable during protected leave, leading to lower scores and higher selection for layoffs.
What laws protect workers from AI bias?
States like California, Colorado, and Illinois have passed laws regulating automated decision systems to prevent bias in employment.
This case against Meta marks a critical moment for AI accountability. As technology evolves, ensuring fairness in automated decisions remains a top priority for regulators and employees alike.
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