Trustworthy ML Design
Deb discusses the importance of involving affected populations in designing machine learning systems to ensure fairness and trust. She introduces the concept of participatory ML and invites participation in an upcoming workshop to explore democratic methods of training ML systems.In this clip
From this podcast
Data Skeptic
Facial Recognition Auditing
Related Questions