Explainable AI is a set of tools and methods that allow us to understand Artificial Intelligence and Machine Learning models and their predictions. This video is an accessible and gentle introduction to Explainable AI methods. It is an introduction to the Explainable AI Cheat Sheet (https://ex.pegg.io).
Intro (0:00)
One Explainability Motivation (0:58)
Explainable AI Cheat Sheet (2:39)
1. Interpretable Models (3:25)
2. Model-Agnostic Methods (4:26)
3. Model-Specific Methods (6:40)
4. Example-Based Methods (7:52)
5. Neural Representations (9:35)
Conclusion & Resources (12:13)
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The Explainable AI Cheat Sheet:
https://ex.pegg.io
Mirror: https://github.com/arpeggiohq/explain...
Resources:
Interpretable Machine Learning Book (Christoph Molnar): https://christophm.github.io/interpre...
Explainability for NLP (Isabelle Augenstein): • Practical Talk 1: Explainability for ...
NLP Highlights: Interpreting NLP Model Predictions (Sameer Singh): / 117-interpreting-nlp-model-predictions-wit...
Please Stop Doing "Explainable" ML (Cynthia Rudin): • Please Stop Doing "Explainable" ML - ...
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