Meta Faces Backlash Over AI Training On Employee Data
Meta Faces Backlash Over AI Training On Employee Data...
Meta is under fire after internal documents revealed the company used employee communications, including emails and chat logs, to train its AI models without explicit consent. The revelation, first reported by The Wall Street Journal on Thursday, has sparked outrage among workers and privacy advocates.
The practice allegedly involved scraping internal messages from platforms like Workplace and Messenger to improve Meta's AI systems. Employees were reportedly unaware their data was being used this way, raising concerns about transparency and workplace privacy.
This issue gained traction after a Meta employee anonymously shared details on Blind, a professional networking app. The post went viral, prompting discussions about corporate ethics in AI development. The story is now trending as workers demand clearer policies on data usage.
Meta confirmed the practice in a statement Friday but claimed the data was anonymized and used only to enhance "workplace efficiency tools." Critics argue the move violates trust, especially after Meta's past privacy controversies, including the Cambridge Analytica scandal.
The backlash comes as AI ethics face heightened scrutiny in the U.S. Last month, the White House issued guidelines urging companies to prioritize transparency in AI training. Meta's approach appears to clash with these recommendations, fueling further criticism.
Labor groups are now calling for federal oversight. "If companies can use employee communications without consent, what stops them from exploiting personal data next?" said Marc Perrone of the United Food and Commercial Workers Union.
Meta's stock dipped 2% in early trading Friday as the controversy spread. The company has not announced changes to its data policies but says it will "review feedback" from employees.
This incident highlights growing tensions between AI advancement and privacy rights. With AI regulation still evolving in the U.S., cases like this could shape future legislation.
