Model Introspection Techniques
Exploring the application of explainability techniques reveals how models make predictions. Key insights into model introspection can enhance understanding and trust in AI systems. This discussion sheds light on the importance of knowing what influences AI decisions.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Learning and Epidemiology with Elaine Nsoesie - #396
Related Questions
What is the challenge around explainability in AI as discussed in the episode 117 - Interpreting NLP Model Predictions, with Sameer Singh and the clip Feature Attribution Methods?
Can neural networks be explained in the context of the episode 117 - Interpreting NLP Model Predictions, with Sameer Singh and the clip Feature Attribution Methods?