Algorithmic Sabotage Work !full!

The New Luddites: A Guide to Algorithmic Sabotage at Work In an era where workplace productivity is increasingly dictated by "black box" algorithms—from AI-driven performance tracking to automated scheduling—a new form of resistance is emerging. isn't about smashing machines; it’s about reclaiming agency in a digital-first workplace. What is Algorithmic Sabotage?

Injecting corrupted or misleading data into a system’s training set to degrade the model's accuracy [1]. Evading Surveillance: algorithmic sabotage work

In 2020, a study showed that poisoning just 0.005% of a large language model's training data could reliably make it generate hate speech. This demonstrates how algorithmic sabotage is not theoretical — and why organizations must secure their ML supply chain. The New Luddites: A Guide to Algorithmic Sabotage