An image of Christina, a filipina person with short hair, in front of a screen that reads why is machine learning different than other creative tools.

ml5.js: friendly machine learning for the web

ROLE: Project Steward, Facilitator

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 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.