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On the failings of Shapley values for explainability
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 …
trust into the deployment of systems that integrate the use of machine learning (ML) models …
The inadequacy of shapley values for explainability
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 …
AI (XAI) will necessarily yield provably misleading information about the relative importance …
A refutation of shapley values for explainability
Recent work demonstrated the existence of Boolean functions for which Shapley values
provide misleading information about the relative importance of features in rule-based …
provide misleading information about the relative importance of features in rule-based …
Recent advances in formal explainability
X Huang - 2023 - theses.hal.science
In the past decade, monumental breakthroughs in Artificial Intelligence (AI), particularly in
Machine Learning (ML), have shaped various fields. The widespread integration of complex …
Machine Learning (ML), have shaped various fields. The widespread integration of complex …
[PDF][PDF] Trustworthy AI at KDD Lab.
This document summarizes the activities regarding the development of Responsible AI
(Responsible Artificial Intelligence) conducted by the Knowledge Discovery and Data mining …
(Responsible Artificial Intelligence) conducted by the Knowledge Discovery and Data mining …