Understanding Explainability
Upol and Daniel discuss the different dimensions of explainability in AI, including transparency, interpretability, and post hoc explanation. They highlight the challenges of interpreting deep learning algorithms and the importance of precision when discussing explainability.In this clip
From this podcast
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Related Questions
What is the challenge around explainability in AI as discussed in the episode Upol Ehsan on Human-Centered Explainable AI and Social Transparency and the clip Understanding Explainability?
What is the challenge around explainability in AI as discussed in the episode Upol Ehsan on Human-Centered Explainable AI and Social Transparency and the clip Exploring AI Background?