#Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Simple Rules for Complex Decisions

The Selective Labels Problem

Evaluating whether machines improve on human performance is one of the central questions of machine learning. However, there are many domains where the data is …

D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias

With the rise of AI, algorithms have become better at learning underlying patterns from the training data including ingrained social biases based on gender, race, …

Data Science Data Governance [AI Ethics]

This article summarizes best practices by organizations to manage their data, which should encompass the full range of responsibilities borne by the use of data …

Generative artificial intelligence empowers educational reform: current status, issues, and prospects

The emergence of Chat GPT has once again sparked a wave of information revolution in generative artificial intelligence. This article provides a detailed overview of …

Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements

Machine learning models have become pervasive in our everyday life; they decide on important matters influencing our education, employment and judicial system. Many of these …

Bias in data‐driven artificial intelligence systems—An introductory survey

Abstract Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, …