Based on 10 months of fieldwork and five months of co-design interviews and focus groups with city staff and green software practitioners, this guide introduces staff and…
Episode Summary
Predominant narratives that cast workers as replaceable hide the ways in which workers are actively responding to generative AI. Many build new skills and tools to their advantage while others sabotage, counteract and otherwise circumvent these systems. The relationship workers have with technology is much more dynamic, contested and layered. Narratives that cast workers as replaceable, for example, obscure the active and complex ways that workers are responding to generative AI. While many build new skills and use these tools and systems to their advantage, others sabotage, counteract, and otherwise circumvent them. In this conversation, Livia Garofalo, Jeff Freitas, Quinten Steenhuis and Data & Society host Aiha Nguyen explored the ways that workers reshape their relationship with generative AI tools – and as a result, with work itself.
Episode Notes
Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?
In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.
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