Amber Roberts

Amber Roberts, an AI expert, discusses responsible AI, including the importance of fairness, transparency, and accountability. She explores post-deployment monitoring, model explainability, and governance in ML models. The podcast also covers combating bias, choosing fairness metrics, and upcoming episodes on Auto ML and MLOps.

ML Observability experts, Amber Roberts and Xander Song, discuss drift detection, retraining models, model biases, and fairness in AI development. They cover Arize's open-source product, Phoenix, and the importance of monitoring production models for issues and scalability challenges with LLMs.