The way we approach complex intelligent systems will have huge impact on our ability to benefit from AI as well as avoiding negative consequences. AI is more than technology and relies on the interaction between individuals, systems and organisations. A new understanding of management in the face of the emergence of complex intelligent systems is required. How can organisations be managed to responsibly contribute to, and benefit from, the emergence of artificial intelligence and complex intelligent systems? This is the overall question we in the research group Nicer address at Linköpings University.
The aim is to contribute to the management of future organisations. The research provides insights into how safety-criticality and system’s generativity can be combined, how decisions can be made concerning complex intelligent systems, how organisations can be designed, how they can work with others in ecosystems and how they can harness complexity. The research combines technology and management perspectives while considering social aspects. The project’s ecosystem includes management researchers, AI researchers and practitioners. Future scenarios are studied, for example demonstration arenas for technology research and industrial applications.
Nicer performs relevant research on the management of complex intelligent systems leading to theoretical and practical management insights enabling purposeful use of AI in complex systems and infrastructures.
Identify, execute and disseminate relevant research on future management contexts based on rigorous methods.
Projects and funding
Research themes/Research case contexts
Data driven guaranteed positioning and navigation?
ISAB supporting the Nicer research group