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Sign up free →Meta Platforms announced it will track employees' computer activity—including mouse movements, keystrokes, and screen interactions—to collect training data for its AI models. The company frames this as necessary to improve AI performance, though specific timelines and scope remain unclear.
Unlike typical employee monitoring that flags productivity, Meta's approach treats detailed behavioral data as raw material for machine learning. This means mundane actions (how fast you type, where you click, correction patterns) become AI training inputs, potentially revealing work habits and decision-making patterns far beyond what traditional monitoring captures.
For Meta employees, this signals a shift in workplace privacy expectations—your computer activity now feeds product development, not just performance reviews. For other tech workers, this may set a precedent: as companies race to build competitive AI systems, expect similar data-collection proposals at other firms, making employee monitoring tied directly to AI ambitions rather than management oversight.
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