Source: The Next Web
Meta is systematizing the collection of granular behavioral data—mouse movements, keystrokes, navigation patterns—from its own workforce under the guise of AI training efficiency. This collapses the distinction between user research and workplace monitoring. Rather than relying on public datasets or volunteer participants, Meta is using its captive labor force as a training data source. The move raises questions about consent, data ownership, and precedent for other tech employers. The framing as necessary AI development obscures a simpler calculation: that employee data is a competitive advantage worth the reputational and legal risk of disclosure.