[HTML][HTML] Artificial intelligence in information systems research: A systematic literature review and research agenda
AI has received increased attention from the information systems (IS) research community in
recent years. There is, however, a growing concern that research on AI could experience a …
recent years. There is, however, a growing concern that research on AI could experience a …
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
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 …
phenomenon of global interest for academia, business, and society and brought about the …
Machine learning and deep learning
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …
learning. Machine learning describes the capacity of systems to learn from problem-specific …
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …
intelligent systems. Research indicates that there is a tradeoff between their model …
Application of industry 4.0 in the procurement processes of supply chains: a systematic literature review
The fourth industrial revolution has significantly changed the traditional way of managing
supply chains. The applications of Industry 4.0 (I4. 0) technologies such as the Internet of …
supply chains. The applications of Industry 4.0 (I4. 0) technologies such as the Internet of …
[HTML][HTML] Population preferences for performance and explainability of artificial intelligence in health care: choice-based conjoint survey
Background Certain types of artificial intelligence (AI), that is, deep learning models, can
outperform health care professionals in particular domains. Such models hold considerable …
outperform health care professionals in particular domains. Such models hold considerable …
Artificial intelligence for sustainability—a systematic review of information systems literature
The booming adoption of Artificial Intelligence (AI) likewise poses benefits and challenges.
In this paper, we particularly focus on the bright side of AI and its promising potential to face …
In this paper, we particularly focus on the bright side of AI and its promising potential to face …
[HTML][HTML] Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event …
Predicting next events in predictive process monitoring enables companies to manage and
control processes at an early stage and reduce their action distance. In recent years …
control processes at an early stage and reduce their action distance. In recent years …
[PDF][PDF] Achieving Sustainability with Artificial Intelligence-A Survey of Information Systems Research.
Understanding the role of Artificial Intelligence (AI) is crucial to contribute to sustainable
development including the most fundamental challenges of our society, such as climate …
development including the most fundamental challenges of our society, such as climate …
[HTML][HTML] Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable
Algorithmic decision support systems are widely applied in domains ranging from healthcare
to journalism. To ensure that these systems are fair and accountable, it is essential that …
to journalism. To ensure that these systems are fair and accountable, it is essential that …