"This primer seeks to reinsert workers’ current and material experiences into the public discourse and question promotional language about the magical, infallible, and seemingly inscrutable qualities of AI.
In Part One, we define generative AI and discuss its different iterations as work technologies, and interrogate assumptions and claims about its capabilities.
In Part Two, we draw connections between different global dimensions of data labor, and how the underlying data behind generative AI technologies impact workers’ livelihoods.
In Part Three, we situate generative AI in the context of workplace adoption and identify how it is distinct from and connected to other forms of work automation."