In this class students will experiment with emerging techniques in machine learning, developing a series of creative works that address topics like classification, fakery, automating language, surveillance, and embodiment. The approach will be both practical and critical. How does machine learning produce and reproduce repressive status quo political, economic, ecological, and social conditions, and how might these technologies be used and mis-used to further more just political and social outcomes? How does the project of “AI” continue a long and bleak history of imperialist attempts to shape the world with data? How does creative experimentation reveal the qualities of machine learning as a medium and approach? Is it even possible to make an interesting project using stable diffusion? We will primarily use open source models and tools, but will also explore commercial products to probe their limitations, biases, politics, and business models.