The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …

With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount
societal concern. Despite increased attention of researchers, the topic remains fragmented …

The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-
traffic control leads to systems that are practical and efficient, and to some extent explainable …

Increasingly, artificial intelligence (AI) is being used to assist complex decision-making such
as financial investing. However, there are concerns regarding the black-box nature of AI …

Abstract The Decision Model and Notation (DMN) modeling language allows the precise
specification of business decisions and business rules. DMN is readily understandable by …

The paper proposes universal conceptual modeling, conceptual modeling that strives to be
as general-purpose as possible and accessible to anyone, professionals and non-experts …

General ontology is a prominent theoretical foundation for information technology analysis,
design, and development. Ontology is a branch of philosophy which studies what exists in …

Conceptual modeling applies abstraction to reduce the complexity of a system under study
to produce a human interpretable, formalized representation (ie, a conceptual model). Such …

Artificial Intelligence is increasingly driven by powerful but often opaque machine learning
algorithms. These black-box algorithms achieve high performance but are not explainable to …

Artificial Intelligence (AI) is being increasingly used to assist complex decision-making such
as financial investing. As most AI systems rely on black-box machine learning models …