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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 U.S. census data problem

The U.S. census data problem uses features of the U.S. population to predict whether a person will earn more than USD 50K or not.

In this chapter, we will use WIT_Model_Comparison_Ethical.ipynb, a notebook derived from Google's notebook.

The initial dataset, adult.data, was extracted from the U.S. Census Bureau database: https://web.archive.org/web/20021205224002/https://www.census.gov/DES/www/welcome.html

Each record contains the features of a person. Several ML programs were designed to predict the income of that person. The goal was to classify the population into groups for those earning more than USD 50K and those earning less.

The adult.names file contains more information on this data and the methods.

The ML program's probabilities, as stated in the adult.names file, achieved the following accuracy:

Class probabilities for adult.all file
| Probability for the label '>50K'  : 23.93% / 24.78% (without...

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Authors (1)

Denis Rothman

Denis Rothman

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

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