Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature
Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …
Explanations in autonomous driving: A survey
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
A survey on XAI and natural language explanations
The field of explainable artificial intelligence (XAI) is gaining increasing importance in recent
years. As a consequence, several surveys have been published to explore the current state …
years. As a consequence, several surveys have been published to explore the current state …
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences
M Graziani, L Dutkiewicz, D Calvaresi… - Artificial intelligence …, 2023 - Springer
Since its emergence in the 1960s, Artificial Intelligence (AI) has grown to conquer many
technology products and their fields of application. Machine learning, as a major part of the …
technology products and their fields of application. Machine learning, as a major part of the …
Symbolic knowledge extraction and injection with sub-symbolic predictors: A systematic literature review
In this article, we focus on the opacity issue of sub-symbolic machine learning predictors by
promoting two complementary activities—symbolic knowledge extraction (SKE) and …
promoting two complementary activities—symbolic knowledge extraction (SKE) and …
Explanation as a social practice: Toward a conceptual framework for the social design of AI systems
KJ Rohlfing, P Cimiano, I Scharlau… - … on Cognitive and …, 2020 - ieeexplore.ieee.org
The recent surge of interest in explainability in artificial intelligence (XAI) is propelled by not
only technological advancements in machine learning but also by regulatory initiatives to …
only technological advancements in machine learning but also by regulatory initiatives to …
Explainable AI, but explainable to whom? An exploratory case study of xAI in healthcare
J Gerlings, MS Jensen, A Shollo - … Artificial Intelligence in Healthcare: Vol 2 …, 2022 - Springer
Advances in AI technologies have resulted in superior levels of AI-based model
performance. However, this has also led to a greater degree of model complexity, resulting …
performance. However, this has also led to a greater degree of model complexity, resulting …
Fifty years of Prolog and beyond
Both logic programming in general and Prolog in particular have a long and fascinating
history, intermingled with that of many disciplines they inherited from or catalyzed. A large …
history, intermingled with that of many disciplines they inherited from or catalyzed. A large …
Defining explanation and explanatory depth in XAI
S Buijsman - Minds and Machines, 2022 - Springer
Explainable artificial intelligence (XAI) aims to help people understand black box algorithms,
particularly of their outputs. But what are these explanations and when is one explanation …
particularly of their outputs. But what are these explanations and when is one explanation …
Self-explaining social robots: An explainable behavior generation architecture for human-robot interaction
In recent years, the ability of intelligent systems to be understood by developers and users
has received growing attention. This holds in particular for social robots, which are …
has received growing attention. This holds in particular for social robots, which are …