This paper develops a rigorous argument for why the use of Shapley values in explainable
AI (XAI) will necessarily yield provably misleading information about the relative importance …

In the quest for Explainable Artificial Intelligence (XAI) one of the questions that frequently
arises given a decision made by an AI system is,``why was the decision made in this …

Abstract Explainable Artificial Intelligence (XAI) is widely considered to be critical for building
trust into the deployment of systems that integrate the use of machine learning (ML) models …

The advances in Machine Learning (ML) in recent years have been both impressive and far-
reaching. However, the deployment of ML models is still impaired by a lack of trust in how …

Widespread use of artificial intelligence (AI) algorithms and machine learning (ML) models
on the one hand and a number of crucial issues pertaining to them warrant the need for …

Advancements in mathematical programming have made it possible to efficiently tackle
large-scale real-world problems that were deemed intractable just a few decades ago …

Recent work demonstrated the existence of Boolean functions for which Shapley values
provide misleading information about the relative importance of features in rule-based …

The uses of machine learning (ML) have snowballed in recent years. In many cases, ML
models are highly complex, and their operation is beyond the understanding of human …

In recent years, the impact of machine learning (ML) and artificial intelligence (AI) in society
has been absolutely remarkable. This impact is expected to continue in the foreseeable …

In the past decade, monumental breakthroughs in Artificial Intelligence (AI), particularly in
Machine Learning (ML), have shaped various fields. The widespread integration of complex …