Explainable Artificial Intelligence Series

Welcome to my GitHub repository for the Explainable Artificial Intelligence article series.

This series explores various aspects of Explainable AI, aiming to make complex AI models more interpretable and transparent. Below are the articles in the series:

1. What is Explainable Artificial Intelligence?

In this introductory article, we explore the concept of Explainable AI, types and the key techniques used to interpret AI models.

2. Explainable CNN Model on Fashion MNIST Dataset

This post introduces an explainable Convolutional Neural Network (CNN) model developed for the Fashion MNIST dataset, demonstrating how interpretability can be integrated into CNN architectures.

3. Explainable Question Answering System

In this article, we delve into one of the first efforts to incorporate explainability into a Persian language Question Answering (QA) system, outlining the methodologies and challenges encountered.