This seminar helps students both within and outside core technical research
communities to develop a grounded understanding of artificial intelligence (AI) and machine learning (ML) systems. Drawing primarily from the interdisciplinary field of Science & Technology Studies (STS), students learn to look beyond the current hype of AI and engage with it as a distributed infrastructure of humans, machines, institutions, regulations, practices, and ideologies. This is a seminar-style class that prioritizes discussion over lectures.
