Making Art with Artificial Intelligence: Artists in Conversation
summary
Two robotic arms perform mimicry, memory, multiplicity gestures driven by simple computer vision and successive ML models, and a city-linked multi-robot system trains on publicly available New York surveillance to generate live, improvised mark-making. A river simulation generates visuals with about 20 custom shaders while four pianists record ~350 interpretations (8 aesthetics × 4 styles × 3 tempos) used to train Google Magenta (200→6,000 iterations, some overfitting) producing a real-time audiovisual installation Meandering River on the Boardwalk.
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chapters (15)
- 0:00Intro
- 7:06River Simulation
- 12:54Introduction
- 22:44Integrating
- 24:12Recontextualizing
- 25:32Augmentation
- 26:19The creation process
- 27:16Art as a time capsule
- 28:29Collaboration and agency
- 30:02Are computers replacing artists
- 31:12Agency
- 32:32Local Intelligent Systems
- 33:17Integrating Intelligent Systems
- 34:41Natural Systems
- 35:27Collaboration with Nature
