The Emergence of Complex Intelligent Systems and The Future of Management 

The way we approach AI and its implementation in complex systems will have huge impact on our ability to benefit from AI as well as avoiding negative consequences. AI is thus much more than technology.

Auguste Rodins Tänkaren and his modern version. Photo credit Hans Andersen samt iStock/mennovandijkIndustrial firms and other organizations are important actors and understanding how they can organize and coordinate their activities within their own as well as across organizations is important for an AI-enhanced society to become a reality. This project supports the industry and society transformation by exploring future management capabilities.

The activities are performed along three research themes
1. Decision making in the (partly) unknown. This theme explores future decision making in relation to the characteristics of complex intelligent systems. The theme will address aspects such as understanding what the decision scope is, who takes decisions, where and when are decisions taken and how are decisions taken when decisions are made (at least partly) in the unknown and depend on emergent system behaviors that create unknown unknowns (i.e. unknowns that cannot be foreseen).

2. Future organizational designs and interactions in ecosystems. In this theme, new perspectives on the links between the system architecture and organizational design are explored to generate insights into future organizational designs and interactions in ecosystems for complex intelligent systems that are characterized by layered system architectures, intelligent evolution of systems, and emergence of new types of actors such as data factories.

3. Management when system complexity is beyond human cognitive understanding. This theme explores the consequences of increasing system complexity and artificial intelligence beyond human cognitive understanding in relation to design strategies based on increasingly intelligent representation tools such as model-based system engineering and visual analytics building on a model and data-driven representation logic.

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Soon in Diva

Lakemond, N., Holmberg, G. (2018). Digital Innovation in Complex Systems – Managing Critical Applications and Generativity, 31st Congres of the International Council of the Aeronautical Sciences, Belo Horizonte, Brazil, 9-14 September

Holmberg, G., Lakemond, N. (2018), Trust, Control, and Risk in Multilateral R&D Alliances: A Dynamic and Dialectic Perspective. In T. K. Das (Ed.), Managing Trust in Strategic Alliances (pp. 39- 73). Charlotte, NC: Information Age Publishing

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