Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the world around us.

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

The essential labor of data work, like moderation and annotation, is systematically hidden from those who benefit from the fruits of that labor. A new project puts the lived experiences of data ...