Publikation
The Management of Artificial Intelligence: Developing a Framework Based on the Artificial Intelligence Maturity Principle
Philipp Fukas
In: Amy Van Looy; Barbara Weber; Michael Rosemann (Hrsg.). Proceedings of the Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022). CAiSE Doctoral Consortium (CAiSE-DC-2022), located at CAiSE 2022, June 6-10, Leuven, Belgium, Pages 19-27, CEUR Workshop Proceedings, Vol. 3139, CEUR-WS.org, Aachen, 2022.
Zusammenfassung
The use of Artificial Intelligence (AI) must be systematically managed and coordinated to optimally support corporate goals and enable AI to create added value for organizations. This poses new challenges for traditional Information Technology (IT) management. Although initial approaches to managing AI as an extension of traditional IT management exist, the management of AI is still in its infancy. Therefore, the goal of our research is the development of an integrated management framework that combines insights from AI maturity model research with an overarching AI management perspective. In a multi-method and design science-oriented research process, an AI maturity model, an AI management metamodel, and a web-based AI maturity assessment and management tool combining both previous models are developed and evaluated. In addition, several smaller studies are conducted to demonstrate how AI-based information systems can be managed corresponding to the different dimensions of the integrated AI management framework.