Ian J. Goodfellow

In this course

Goodfellow is the lead author of the foundational 2014 paper introducing Generative Adversarial Networks (GANs), a framework where two neural networks compete—one generating synthetic data, the other discriminating real from fake—that became central to modern generative AI systems. In the context of this seminar, GANs exemplify both the technical substrate enabling contemporary image generation and the adversarial logic embedded in machine learning architectures, which the course explores through readings on data extraction, labor, and the aesthetics of algorithmic image-making.

Mentioned in 2 readings