5 papers
Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
V. C. Storey, J. Parsons, A. Castellanos +4
Machine learning enables the extraction of useful information from large, diverse datasets. However, despite many successful applications, machine learning continues to suffer from…
Conceptual Modelling for Life Sciences Based on Systemist Foundations
R. Lukyanenko, O. Pastor, V. C. Storey
All aspects of our society, including the life sciences, need a mechanism for people working within them to represent the concepts they employ to carry out their research. For the…
Conceptual Modeling: Topics, Themes, and Technology Trends
V. C. Storey, R. Lukyanenko, A. Castellanos
Conceptual modeling is an important part of information systems development and use that involves identifying and representing relevant aspects of reality. Although the past decade…
Validity in Design Science
K. Larsen, R. Lukyanenko, Roland M. Mueller +4
Researchers must ensure that the claims about the knowledge produced by their work are valid. However, validity is neither well-understood nor consistently established in design sc…
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Veda C. Storey, Wei Thoo Yue, J. Leon Zhao +1
The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculat…