Meta needed employee data for AI edge, but faced a very 'human problem'
Meta attempted to collect internal employee data, including keystrokes and screen activity, to train its AI models to perform basic computer tasks. The initiative faced significant backlash from staff, who raised privacy concerns and fears regarding job automation.
Why it matters
This highlights the growing tension between corporate AI development goals and employee privacy rights, as well as the ethical challenges of internal data harvesting.
Meta found an internal way to get its hands on more data to strengthen its position in the artificial intelligence (AI) race. To bridge the data gap that didn't come from the internet, the social media giant was turning to its own employees. Meta’s elite AI unit, known as TBD, introduced the Model Capability Initiative (MCI), a programme designed to collect data on how thousands of employees use their computers.The idea was simple: keystrokes, mouse movements and screen activity could help AI models learn how humans actually work with computers. But Meta soon ran into a very human problem: opposition from its own employees. What followed was a rebellion involving memes, flyers and a petition signed by more than 1,800 workers.Why Meta wanted employee dataMCI was ‘invented’ by Meta because of the fundamental drawbacks that their AI systems had.
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