Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

P. MishraPractical Explainable AI Using Pythonhttps://doi.org/10.1007/978-1-4842-7158-2_1

1. Model Explainability and Interpretability

Pradeepta Mishra¹  

(1)

Sobha Silicon Oasis, Bangalore, Karnataka, India

 

In this book, we will begin with an introduction to model explainability and interpretability basics, ethical considerations in AI applications, and biases in the predictions generated by AI models. We will cover the reliability of AI models in generating predictions in different use cases. Then we will cover the methods and systems to interpret the linear models that are used in AI, such as non-linear models and time series models. Next, we will explore ...