ml5.js aims to make machine learning accessible to artists, students, and creative coders. The library is interested in engaging with complicated problems around data provenance and harmful bias encoded into ML models.
I taught workshops and help onboard new contributors to the project. I worked with the larger team to develop and launch ml5.js's Code of Conduct, and workshopped sustainability practices with Clinic for Open Source Arts.