Meta’s AI experiment shows why monitoring employees backfires—especially with Gen-Z
- 12 minutes ago
- 1 min read
INC. — Last week, Meta revealed it is using a brand new source of vital data to train its in-house AI agents: by tapping the actions of thousands of workers on its own staff. It sounds smart—AI training data is hard to get and expensive.
But alarm bells immediately rang because the data was coming from tracking what workers were doing on their computers, down to capturing screenshots and tiny mouse movements.
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