Algorithms and Interactions for Human-AI Music Making
education program·university course·announced
New MIT research seminar on algorithms and interactions for human-AI creative partnerships in music.
Verified facts
| Official site | https://catalog.mit.edu/subjects/21m/ ↗ |
|---|---|
| Geography | United States |
| price | Included in MIT tuition; course-specific price not disclosed |
| title | Algorithms and Interactions for Human-AI Music Making |
| format | in_person |
| topics | generative modeling; human feedback; reinforcement learning; social RL; interpretability; human-AI collaboration |
| duration | semester; 12 MIT units |
| end date | unknown |
| language | English |
| location | Cambridge, Massachusetts |
| provider | Massachusetts Institute of Technology |
| recurrence | First listed for Fall 2026; cross-listed as 21M.586 |
| start date | unknown |
| instructors | Anna Huang |
| program type | undergraduate/graduate research seminar |
| prerequisites | No formal prerequisite; Python or JavaScript and ML-model experience recommended |
| program state | announced |
| target audience | MIT undergraduate and graduate students |
| learning outcomes | Complete a term research project culminating in a journal-quality paper |
| application deadline | MIT registration schedule |
| credential or outcome | Academic credit and research paper |
| scholarship and funding | not publicly disclosed |
Current
| includes course (by) | Master of Science in Music Technology and Computation |
|---|
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