ml5.js
overview
Collaborators: the ml5.js community, especially Dan Shiffman, Bomani Oseni McClendon, Joey K Lee, and the Processing Foundation.
ml5.js aims to make machine learning accessible to a broad audience of artists, students, and creative coders. The library and its project stewards are interested in engaging with complicated problems around data provenance and harmful bias encoded into ML models. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
I worked alongside many contributors to help maintain the library, address issues, taught creative workshops, and helped onboard new contributors to the project. I worked with the larger team to develop and launch ml5.js's Code of Conduct, and workshopped internal sustainability practices with Clinic for Open Source Arts.