Last International Workers’ Day, we wrote about the data enrichment workers whose labor makes AI possible, but whose contributions remain largely invisible. A year later, our work continues in advancing positive outcomes for the people behind the technology and across the AI value chain.
Conversations around AI have mainly centered around the technology itself: the models, their capabilities, and ...
The narrative positions the invisibility of data enrichment workers as a core ethical and structural failure within the AI value chain, shifting the focus from technical risk to labor rights. This framing serves to re-center the conversation away from the abstract risks of AI models toward concrete, traceable human costs and opportunities. The pattern relies on connecting systemic inequality (low wages, lack of transparency) directly to technological advancement, implicitly demanding that techno...