About this event
LearningIn-person at InterAccess | Register here
Registration Fee: $30 Member | $50 Non-Member
Self As Dataset: Animating the Body with Machine Learning is for artists interested in AI and animation who want more authorship and control over their data than browser-based tools allow, without needing high-performance GPU systems or advanced technical background.
Over the span of the workshop, participants will:
Unpack the gap between ethical intention and practical access in AI art, why meaningful engagement with machine learning can feel either oversimplified or out of reach, and how participant-authored datasets bridge that.
Build simple datasets grounded in their own movement and original visual material, drawing on approaches from computer engineering and dance-theatre.