This video gives a broad overview on explainable AI, from the difference between explainability and interpretability to each of the explanation methods:
- Model Visualisations
- Feature-based explanations (LIME/SHAP)
- Concept-based explanations,
- Example-based explanations like prototypical examples and influence functions
- Counterfactual explanations
----------------
Social:
Twitter: [ Ссылка ]_
My website (+ blog): [ Ссылка ]
My email newsletter: [ Ссылка ]

-----------------
Links:

Counterfactual explanation video: [ Ссылка ]

Distill CLIP OpenAI visualisation: [ Ссылка ]
LIME: [ Ссылка ]
SHAP: [ Ссылка ]
Concept Bottleneck Models: [ Ссылка ]
Understanding Black-box Predictions via Influence Functions
: [ Ссылка ]

------------------------------------------------------------------------------------
Timestamps:

00:00 Introduction
00:44 Explainability vs Interpretability
01:25 Global vs Local Explanations
02:11 Visualising ML Internals
03:13 Feature-based explanations
04:58 Concept-based explanations
05:55 Example-based explanations
06:39 Counterfactuals
----------------------------------------

► Artist Attribution
Music By: "After The Fall"
Track Name: "Silk"
Published by: Chill Out Records
- Source: [ Ссылка ]
Official After The Fall YouTube Channel Below
[ Ссылка ]
License: Eric/After The Fall @ Just Chill Productions
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Full license here: [ Ссылка ]
► Download "Silk" by 'After The Fall' HERE: [ Ссылка ]

свернуть