Eamon Duede

This course will focus on the history and science of the development of AI from the cybernetics movement, to logic and expert systems GOFI period, recommender systems and deep neural networks (both in their initial and contemporary manifestations). Students will learn how these systems actually work, what tasks they were envisioned to be useful for, and what a study of these systems was and is thought to tell us about cognition, intelligence, and the world. In parallel, students will engage with literature in the philosophy of AI that seeks to interpret and challenge the science and rationale of these systems as well as ask and attempt to answer novel questions concerning the epistemology of deep neural networks. Students will also engage directly and philosophically with actual scientific literature that uses artificial intelligence.