AI人工智能核心算法原理与代码实例讲解：模型可解释性

1. Background Introduction

In the rapidly evolving field of artificial intelligence (AI), model interpretability has emerged as a critical aspect, particularly in applications where human oversight and understanding of the AI's decision-making process are essential. This article aims to provide a comprehensive understanding of AI model interpretability, its core principles, and practical implementation through code examples.

1.1 Importance of Model Interpretability

Model interpretability is crucial in various AI applications, such as healthcare, finance, and autonomous systems, where the consequences of AI decisions can have significant impacts on human lives. Interpretable models