Background Significant advancements in the field of information technology have influenced
the creation of trustworthy explainable artificial intelligence (XAI) in healthcare. Despite …

Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …

Compliance with the General Data Protection Regulation (GDPR) or related laws by
organizations could require organizational and technological changes. This topic has …

Online targeted advertising leverages an information asymmetry between the advertiser and
the recipient. Policymakers in the European Union and the United States aim to decrease …

Currently, data are often referred to as the oil of the 21st century. This comparison is not only
used to express that the resource data are just as important for the fourth industrial …

This review provides a succinct overview of the comprehensive review exploring the
integration of Artificial Intelligence (AI) in credit scoring. The analysis delves into diverse AI …

Following a series of complimentary studies assessing the current application of the
principle of transparency of consumer information in Croatia, Germany, Poland, the …

The self-proclaimed first publicly available dataset of Monkeypox skin images consists of
medically irrelevant images extracted from Google and photography repositories through a …

Abstract Existing Explainable AI (XAI) approaches, such as the widely used SHAP values or
counterfactual (CF) explanations, are arguably often too technical for users to understand …

Objective: to analyze the current technological and legal theories in order to define the
content of the transparency principle of the artificial intelligence functioning from the …