The two positions are devoted to carrying out research on how digital technologies based on artificial intelligence (AI) are organized, implemented, and used in the public sector and healthcare. This involves developing a sociotechnical perspective on AI and performing empirical studies of the processes and consequences of implementing AI in organizational contexts.
Candidates for the two positions are expected to focus their project on one of the two following themes:
1. Organization and implementation of AI in public governance and public sector organizations. Within this theme, there are several possible research topics related to AI and digitalization of the public sector. This includes governmental policies and strategies for AI, the development and implementation of AI solutions in organizations, how AI can be used to automate and augment decisionmaking within governance and public service provisioning, as well as the consequences and implications of such processes.
2. The impact of AI on data work and care practices in healthcare. Within this theme, the candidate can address a range of different topics related to practical use of AI in healthcare. This includes the potential of AI to automate or augment clinical work process and care, the changing conditions for data work and diagnostic procedures, and the potential role redistribution between health professionals and patients. It is also possible to address the theme from a critical angle, for instance by investigating algorithmic bias and (mis)representation of minorities, and how this can be accounted for in the development and use of AI systems.