Complex Model Explanations
Sameer and Yasaman debate the challenges of explaining complex machine learning models, highlighting the struggle to simplify intricate concepts into easily digestible explanations. They discuss the limitations of reducing explanations to yes or no questions and the importance of providing nuanced insights alongside simplified answers.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
Related Questions
What is the challenge around explainability in AI?
What is the challenge around explainability in AI as discussed in the episode Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189 and the clip Interpretability in AI?
What is the challenge around explainability in AI as discussed in the episode Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189 and the clip Interpretability in AI?