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Lawsuit Claims Meta's Layoff Decisions Were Made By AI, Not Humans

2 months 1 week ago
A lawsuit from 26 Meta employees alleges the company used AI-driven scoring and monitoring systems to select workers for layoffs, disproportionately targeting employees with disabilities or those who had taken protected medical, family, pregnancy, or parental leave. "Meta did not assemble the termination list through the considered judgment of managers who knew the work. Instead, Meta used a constellation of internal artificial-intelligence systems -- including a system referred to internally as 'Metamate,' employee-trained 'second-brain' agents, keystroke- and activity-monitoring data, AI-token-usage dashboards, and algorithmically assisted performance ranking and calibration -- to score, rank, and select employees for inclusion on the list," the lawsuit (PDF) said. Ars Technica reports: Employees were allegedly graded, among other things, on how much they used Meta's AI tools. "Meta's internal dashboards classified employees by their stage of adoption of its artificial-intelligence tools, using categories such as 'AI Native,' 'AI First,' and 'AI Enabled,'" the lawsuit said. The lawsuit is apparently "the first against a major U.S. company to challenge the alleged use of AI in conducting layoffs," according to Reuters. The complaint alleges that Meta's tools for monitoring employees did not account for differences caused by disabilities and protected leaves. "Those tools draw on inputs -- performance ratings, calibration scores, productivity and output metrics, 'AI-native' ratings, and AI-token consumption -- that, 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 said. The lawsuit alleged that Meta management did not take steps to adjust scores for employees who took leave or who requested reasonable accommodations for disabilities. "Meta did not neutralize those inputs for protected leave; did not exclude protected-leave-takers or accommodation-seekers from the selection cohort; and did not pause the system for the individualized, leave- and accommodation-neutral review that the law requires," the complaint alleged. "The result was that employees who took protected leaves were disproportionately selected for layoff, based on scoring that not only failed to account for their protected leaves, but in effect penalized the employees for exercising their legal rights to these leaves." The 26 plaintiffs requested leaves or disability accommodations in the 24 months before being selected for layoffs, the lawsuit said. The layoffs are not yet finalized, but employees are scheduled to start losing their jobs on July 22, the lawsuit said. "These claims lack merit and are not based on facts," said Meta in a statement. "Workforce management and organizational decisions were and are made by people, not AI."

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Google DeepMind Calls For US To Spearhead AI Standards Body

2 months 1 week ago
Google DeepMind chief Demis Hassabis is calling for a U.S.-led AI standards body to review frontier models for national security risks such as cybersecurity and biological threats. His proposal would create a federally overseen public-private organization, initially voluntary and eventually mandatory for U.S. deployment. CNBC reports: Google DeepMind boss Demis Hassabis, a Nobel laureate, said in an article posted on X on Tuesday that "urgent action" was needed to address risks associated with artificial general intelligence (AGI) -- the point at which AI matches or surpasses human intelligence. "We've already seen the challenges frontier models pose for cybersecurity, and other threats including nuclear and bio risks may soon emerge as capabilities continue to advance," he said. [...] Hassabis said the U.S. was well positioned to lead in developing an AI framework "given its economic and technical standing." "It could establish a new Standards Body modelled on a federally overseen public-private partnership or self-regulatory organisation, much like the Financial Industry Regulatory Authority (FINRA), with a board that includes independent leading technical experts and open-source representatives," he added. FINRA regulates brokerage firms and exchange markets in the U.S. The proposed body would need "substantial" funding "in order to attract world-class technical talent and provide the necessary compute resources for large-scale testing," Hassabis said. Funding would "likely" come from industry, he added. Frontier labs would initially voluntarily share models with the body for review up to 30 days before release, before becoming mandatory for deployment in the U.S. market after being shown to be "effective." "Specific agentic AI tests could look for attempts to bypass safety guardrails or signs of deception, and ensure best practices, such as digitally watermarking AI-generated images and generating human-readable output tokens to understand model reasoning," Hassabis said. Further reading: Over 200 Economists Say 'We Must Act Now' On AI's Economic Impact

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