Model Explainability Forum - #401
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Exploring Explainability and Fairness in AI
This chapter discusses the interplay between model explainability and fairness, particularly for privileged and unprivileged groups. The speakers stress the need for human oversight and contextual evaluations in automated decision-making, while exploring the complexities of measuring interpretability. Emphasizing collaboration between researchers and practitioners, they advocate for inclusive research practices and express cautious optimism about future advancements in understanding explainability.
Transcript
Play full episode
