Ryan Mullins

From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey

Models are interpretable when machine learning (ML) practitioners can readily understand the reasoning behind their predictions. Ironically, little is known about the ML practitioners' experience of discovering and adopting novel interpretability techniques in production settings. In a qualitative study with 18 practi…