Amy is a Professor of Visual Arts at University of California San Diego. She writes software; repurposes hardware; performs live visuals; makes installations; speaks; writes; eats and breathes. Her artistic practice works at the intersections of media and technology as culture. She has a long history of working with machine learning and computer vision as cinema. In addition to these practices, she is currently working with generative AI in cinematic installation and performance: both through image and sound and through text and large language models.
Recent
- Deep World (2025)
- What the Robot Saw (2020 — Rebuilt for 2025!)
- Deep Hysteria (2023)
- I asked AI to fix the world… (2023)
- I’ve also published/presented several recent papers, discussing algorithmic bias and media preservation. See also: my Talks page.
Things Amy’s been teaching lately:
Algorithmic bias & visibility. Computer vision and machine learning based inference for installation and video. A non-dystopian approach to generative AI for artists. Contemporary expanded cinema. Visual performance history and practice; abstract cinema history; history and practice of process/programming-based digital media art.