MENLO PARK, Calif., July 14 – Meta Platforms is facing mounting scrutiny after former employees alleged the company used artificial intelligence tools to identify and disproportionately target workers with medical conditions during recent rounds of layoffs.
According to accounts from multiple ex-staff members, internal systems were reportedly leveraged to analyze employee data, including health-related information, performance metrics, and leave records, to inform workforce reduction decisions. The allegations have raised serious concerns about potential violations of workplace discrimination laws and the ethical use of sensitive personal data.
Meta has not publicly confirmed the claims but said in a statement that its layoff processes are designed to comply with all applicable labor and privacy regulations. “We do not use health data to make employment decisions,” a company spokesperson said, adding that any suggestion otherwise would be “inaccurate and misleading.”
However, former employees contend that algorithmic tools may have indirectly flagged individuals with ongoing medical needs by identifying patterns such as frequent absences, disability accommodations, or participation in company health programs. These patterns, they argue, may have been used as proxies in determining layoffs, even if explicit medical data was not directly referenced.
Legal experts note that if proven, such practices could violate U.S. protections under frameworks like the Americans with Disabilities Act, which prohibits discrimination based on health conditions. Privacy advocates also warn that the integration of AI into human resources decision-making introduces new risks, particularly when dealing with sensitive categories of personal information.
“This is a clear example of how algorithmic decision-making can unintentionally replicate or even amplify bias,” said a policy analyst at the Electronic Frontier Foundation. “Without transparency and safeguards, these systems can cross legal and ethical boundaries.”
The controversy comes at a time when major tech companies, including Google and Amazon, are increasingly deploying AI tools to optimize operations, including hiring and workforce management. Critics argue that regulatory oversight has not kept pace with the rapid adoption of such technologies.
Labor groups have called for investigations by federal and state authorities, urging agencies to examine whether AI-driven systems are being used in ways that disadvantage vulnerable employees. Some lawmakers are also pushing for stricter rules governing how companies can collect, process, and apply employee data.
As the case unfolds, it is likely to intensify the broader debate over the role of artificial intelligence in workplace decision-making, particularly in areas where human judgment intersects with automated analysis. For now, the allegations have cast a spotlight on the balance between efficiency and fairness in the age of algorithmic management.