As AI systems increasingly promise speed, scale, and frictionless creation, artists and researchers are left to ask whether “faster” is always better—and what is lost when our tools minimize effort to the point of erasing agency. This talk reframes AI not as a shortcut but as a site of embodied practice, where effort, gesture, and situated knowledge become sources of meaning. Building on recent work on small-data, interactive machine learning for music-making and a broader agenda that reposit...

Dr. Gabriel Vigliensoni

Keynote speaker