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Hands-On Explainable AI (XAI) with Python

You're reading from Hands-On Explainable AI (XAI) with Python Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800208131

Length 454 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

View More author details

Table of Contents (16) Chapters

Preface

1. Explaining Artificial Intelligence with Python

2. White Box XAI for AI Bias and Ethics FREE CHAPTER

3. Explaining Machine Learning with Facets

4. Microsoft Azure Machine Learning Model Interpretability with SHAP

5. Building an Explainable AI Solution from Scratch

6. AI Fairness with Google's What-If Tool (WIT)

7. A Python Client for Explainable AI Chatbots

8. Local Interpretable Model-Agnostic Explanations (LIME)

9. The Counterfactual Explanations Method

10. Contrastive XAI

11. Anchors XAI

12. Cognitive XAI

13. Answers to the Questions

14. Other Books You May Enjoy

15. Index

The machine learning perspective

What features do we really need to predict the income of a person? We will provide some ideas in this section.

You must learn how to explain and anticipate the output of an ML program before implementing it.

We will first display the training data using Facets Dive.

Displaying the training data with Facets Dive

We will continue to use the WIT_Model_Comparison_Ethical.ipynb notebook in this section. We will begin by conducting a customized what-if ML investigation.

The U.S. Census Bureau is perfectly entitled to gather the information required for their surveys. The scope of ML analysis we are conducting is quite different. Our question is to determine whether or not we need the type of information provided by the U.S. Census Bureau to predict income.

We want to find a way to predict income that will break no laws and be morally acceptable. We want to remain ethical for applications other than U.S. census predictions...

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Authors (1)

Denis Rothman

Denis Rothman

Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author

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