nicla05

Nicolette Lakemond

Professor

How could organizations be managed so that they can responsibly contribute to, and benefit from, the emergence of artificial intelligence and complex intelligent systems?

The emergence of complex intelligent systems

Artificial intelligence, AI, is playing an increasing role in our society and our lives. Infrastructures that depend on AI are increasing. As a consequence, we are also becoming increasingly vulnerable to shortcomings in these systems. But knowledge about how people, systems and organizations interact is limited.

Management of the future

To meet the new challenges linked to the emergence of complex intelligent systems, new knowledge needs to be created about how organizations can be managed in the future. The research focuses on management issues, for example concerning how decisions in relation to complex intelligent systems can be made, how organizations can be designed, how organizations can work with others in ecosystems and how complexity can be embraced. An important issue is how organizations can be led and management can be designed so that they can contribute in a responsible way to increase the chances that we can achieve the benefits of the new intelligent technologies.
The research is interdisciplinary, technology and management are studied at the same time as societal aspects are taken into account. The project's ecosystem therefore includes management researchers, AI researchers and practitioners.
The research is carried out by the research group NICER. Future scenarios are studied, including demonstration arenas for technology research and industrial demonstrators.

Publications

2024

Bijona Troqe, Gunnar Holmberg, Nicolette Lakemond (2024) Making decisions with AI in complex intelligent systems Research Handbook on Artificial Intelligence and Decision Making in Organizations, p. 160-178 (Chapter in book) Continue to DOI
Bijona Troqe, Nicolette Lakemond, Gunnar Holmberg (2024) From Half-Truths to Situated Truths: Exploring Situatedness in Human-AI Collaborative Decision-Making in the Medical Context Journal of Competences, Strategy and Management, Vol. 12, p. 1-16 (Article in journal) Continue to DOI
Youshan Yu, Nicolette Lakemond, Gunnar Holmberg (2024) Resilience in emerging complex intelligent systems: A case study of search and rescue Journal of Contingencies and Crisis Management, Vol. 32, Article e12626 (Article in journal) Continue to DOI
Elinor Särner, Anna Yström, Nicolette Lakemond, Gunnar Holmberg (2024) Prospective Sensemaking in the Front End of Innovation of AI Projects Research technology management, Vol. 67, p. 72-83 (Article in journal) Continue to DOI
Elinor Särner, Anna Yström, Nicolette Lakemond, Gunnar Holmberg (2024) Utilizing AI in prospective sensemaking for desired futures: outlining near- and distant-future sensemaking in complex system development

Research

News

Short summary

CV

  • 2018 Deputy Dean Research and Research education, Faculty of Science and Technology, Linköping University, Sweden
  • 2017 Professor in Industriell Management, Linköping University, Sweden
  • 2013 Associate professor, Linköping University, Sweden
  • 2009 Reader, Linköping University, Sweden
  • 2001 PhD in Industrial Management, Linköping University, Sweden
  • 1999 Tek. Lic in Industrial Management, Linköping University, Sweden
  • 1996 MSc in Industrial Engineering and Management, Twente University, The Netherlands

Organisation