Industry2h ago
The Exploitative Reality Of AI Data Labeling
Interviews with gig workers in China and Australia reveal precarious conditions behind AI training. These laborers perform tedious, low-paid tasks to refine model accuracy under strict surveillance. The findings expose a hidden, exploitative underclass supporting the AI boom. Practitioners must now consider the ethical cost of the human-labeled datasets powering their models.