26 Meta employees sue, alleging AI-driven layoff picks hit workers on medical and parental leave
A group of 26 Meta employees has sued the company, claiming it used artificial intelligence systems to select people for layoffs, disproportionately targeting those on medical, parental or family leave.They are among the 8,000 employees, or about 10% of its workforce, Meta said it would lay off in May. The lawsuit filed late Monday in federal court in Oakland, California, claims the company used internal AI systems, keystroke and activity-monitoring data, AI token-usage dashboards and algorithmically assisted performance rankings, among other methods, to determine who would be laid off. Meta expands generative AI tools with Muse Image rolloutMany of these scores and ratings “by design, cannot be accumulated by an employee who is on protected medical or family leave, or whose output is reduced by a disability,” the lawsuit says.
- ▪A group of 26 Meta employees has sued the company, claiming it used artificial intelligence systems to select people for layoffs, disproportionately targeting those on medical, parental or family leave.They are among the 8,000 employees, or
- ▪The lawsuit filed late Monday in federal court in Oakland, California, claims the company used internal AI systems, keystroke and activity-monitoring data, AI token-usage dashboards and algorithmically assisted performance rankings, among o
- ▪Meta expands generative AI tools with Muse Image rolloutMany of these scores and ratings “by design, cannot be accumulated by an employee who is on protected medical or family leave, or whose output is reduced by a disability,” the lawsuit
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A group of 26 Meta employees has sued the company, claiming it used artificial intelligence systems to select people for layoffs, disproportionately targeting those on medical, parental or family leave.They are among the 8,000 employees, or about 10% of its workforce, Meta said it would lay off in May. The lawsuit filed late Monday in federal court in Oakland, California, claims the company used internal AI systems, keystroke and activity-monitoring data, AI token-usage dashboards and algorithmically assisted performance rankings, among other methods, to determine who would be laid off.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Hindu.