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 engages media as material. Her current research and practice focuses on changing definitions of moving images in the YouTube era and the role of algorithmic bias in shaping perceptions.
- Generative deep learning works at the intersection of algorithms, gender perceptions, and imagined gender worlds.
- Time machines and player pianos
- Talks and papers on how histories of gesture, performance, self-archiving and “happenings” in 20th century expanded cinema and musical performance relate to contemporary problems of preserving process-based digital media art.
- What the Robot Saw
- Machine learning-generated still image work: DeepReals.
Things Amy’s been teaching lately:
Algorithmic bias & visibility. Computer vision and machine learning based inference for video art. Contemporary expanded cinema; Machine learning as part of real-time audiovisual systems for performance and installation; Visual performance history and practice; abstract cinema history; history and practice of process-based/programming-based digital media art.
Amy also continues to occasionally perform CyberSpaceLand (2003 – present). She enjoys awkwardly and obliquely addressing gender politics whenever possible and in her leisure time tries to play drums better than that.