ARC480H1 S1
Instructor: Paul Howard Harrison
Meeting Section: L0102
Winter 2024

While artificial intelligence interacts with nearly every facet of our lives, its predictive logic is only as valuable as the datasets used in its making. Since this data only represents a small fraction of our lived experiences, the simulated ‘mental models’ employed by today’s artificial neural networks are often selective, biased, and inequitable. This should not dissuade us, however: AI and simulation can be vital components in fighting our intersecting climate & inequality emergencies, but they need to be used with care and a critical mindset. By situating these technologies within the larger contexts of architectural representation and social equity, this seminar prepares students to critically employ AI and simulation through readings, seminars, and hands-on tutorials.