J Marques-Silva - International Symposium on Leveraging Applications of …, 2024 - Springer
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 …
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 …
A Murtovi, M Schlüter, B Steffen - … Essays Dedicated to Tiziana Margaria on …, 2024 - Springer
Explaining a classification made by tree-ensembles is an inherently hard problem that is traditionally solved approximately, without guaranteeing sufficiency or necessity. Abductive …
Recent work revealed a tight connection between adversarial robustness and restricted forms of symbolic explanations, namely distance-based (formal) explanations. This …
O Letoffe, X Huang, N Asher… - arXiv preprint arXiv …, 2024 - arxiv.org
A central goal of eXplainable Artificial Intelligence (XAI) is to assign relative importance to the features of a Machine Learning (ML) model given some prediction. The importance of …
Recent work demonstrated the existence of critical flaws in the current use of Shapley values in explainable AI (XAI), ie the so-called SHAP scores. These flaws are significant in that the …
Measures of voting power have been the subject of extensive research since the mid 1940s. More recently, similar measures of relative importance have been studied in other domains …
Abstract As Artificial Intelligence (AI) is having more influence on our everyday lives, it becomes important that AI-based decisions are transparent and explainable. As a …