Name: XAI, Considerations of SHAP Values
Start: 2024-10-15T19:00:00+02:00
End: 2024-10-15T20:00:00+02:00

## Détails

**Title :**
Considerations of SHAP Values in the settings of Correlated and Causal Features
**Abstract:**
SHAP values, designed to allocate the contribution of each feature to the prediction made by any model, form an important and a very widely used framework for machine learning interpretability. However, special care must be taken when features are correlated or even with causal relationships. In this talk, I will discuss the following topics with concrete examples and use cases:

* How SHAP values can be misleading or even not correct when features are correlated.
* How SHAP values can be incorrect when there are causal relationships between features.
* An overview of causal SHAP as a solution for causality.

**Speaker** : Shuyang XIANG\, Lead Data Scientist \| Mathematician \| Blogger & Educator
**Blog posts:**

* [https://medium.com/towards-data-science/kernelshap-can-be-misleading-with-correlated-predictors-9f64108f7cfb](https://medium.com/towards-data-science/kernelshap-can-be-misleading-with-correlated-predictors-9f64108f7cfb)
* [https://medium.com/towards-data-science/casual-shap-values-a-possible-improvement-of-shap-values-4d4d62925b71](https://medium.com/towards-data-science/casual-shap-values-a-possible-improvement-of-shap-values-4d4d62925b71)

Franck Bardol

GVA Bots and Artificial Intelligence (AI)

Technology

Artificial Intelligence

New Technology

Web Technology

Search Engine Marketing

Data Analytics

Internet of Things (IOT)

Machine Intelligence

Deep Learning

Bots

Digital Transformation

Amazon Alexa

Chatbots

Francois GILARDONI

Joemah Magenya 

Naully Nicolas

Pascal Kotté

Audrey Charmant

Andrii Prokopyk

Jean-Michel Jaquet

XAI, Considerations of SHAP Values

Online event

Share

GVA Bots and Artificial Intelligence (AI)

XAI, Considerations of SHAP Values

GVA Bots and Artificial Intelligence (AI)

Details

Members are also interested in