Learn about explainability and its importance into having a better understanding of systems predictions and decision making. In this video you'll have an explanation of:
- What is Explainable AI
- Its goals
- Different types
- Different methods
- An example to understand how it works
- What is the TrustyAI initiative

Author: Tommaso Teofili
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0:00 Introduction
0:15 Goals
0:40 Opaque vs Interpretable
2:35 Predictive Model and Explainable AI
4:00 Types of explanations
5:30 Explainability Methods
6:50 Examples (LIME, SHAP, etc)
8:20 Feature relevance methods (PDPS, etc)
10:15 Exemplar Methods (Conterfactuals, etc)
10:55 Conclusion and the Trusty AI Initiative

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