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.

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

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 ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...