Graduate Topics in Film – Adversarial Networks and Network Adversity
240 001 | CCN: 31020
Jacob R Gaboury
Location: Moffitt Library 340
Date and Time: TH 2:00pm - 4:59pm
This course examines the politics of digital technology with a focus on the growth of machine learning applications and contemporary network architecture. Exploring recent scholarship that looks to new methods for engaging with technical systems that operate at speeds and scales beyond phenomenal experience, we take as our focus so-called “Generative Adversarial Networks” to examine network adversity broadly speaking, tracking the ways that the Internet and neural networks have obfuscated the political claim of contemporary technology. Readings include Katherine Hayles, Bernard Stiegler, Mark Hansen, Kavita Phillip, Yuk Hui, Kate Crawford, Louise Amoore, Jonathan Beller, and Luciana Parisi, among others.