Episode Details

Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the distinction between AI as a product and AI as a sociotechnical system. They reflect on the often-invisible infrastructure, labour, resources, and governance structures that sit behind AI technologies, and discuss why understanding these systems is essential for making informed choices about technology, impact, and innovation. The conversation highlights how different assumptions about ownership, trust, and accountability shape the technologies we build and the societies they serve.