• Offered under: 21M.369, 21M.569
  • Term(s): Fall
  • Level: Undergraduate and Graduate
  • Units: 12
  • Prerequisite: Permission of instructor
  • Instructors: Anna Huang (Music and Theater Arts/EECS), Grisha Coleman (Music and Theater Arts)

This class proposes that the study of sound and movement practices can inform how we build and envision computational systems, focusing particularly on our relationship to AIs. This course explores computational and humanistic approaches to alignment; tuning AI systems while exploring our capacities for expression. We introduce students to a range of movement and music practices in improvisation and somatics, and include motion capture technologies, critical interaction design, generative modeling, and algorithms for interpretability and learning through human feedback. We explore metaphoric, material, and process based synchronicity across learning systems.