This thesis examines how the public leadership is challenged by artificial intelligence and how public organisations in Sweden should lead their work according to this. The purpose focuses on how research defines artificial intelligence and which challenges that can be found, also what Sweden’s policy documents and leaders in public organisations highlights as important topics with AI and leadership. The thesis starts with the methodological and theoretical approaches. The theoretical framework is based on collaborative leadership which is mostly built on ‘t Hart, Torfing and Haugs views on collaborative leadership. The analysis consists of three parts. The first part focuses on what AI is and what its challenges are, according to international research. The second part focuses on what Sweden’s policy documents highlights about AI and what that means to public leadership. Lastly, the third part focuses on how leaders within public organisations reason with challenges that exist with AI and leadership. The thesis result is that to be able to overcome the challenges that exist with AI in public organisations leadership is essential. The analysis of the research articles, policy documents and leaders statements comes to the conclusion that collaborative leadership is the most efficient and productive way to overcome the challenges that are identified.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-161741 |
| Date | January 2019 |
| Creators | Kulanovic, Aneta |
| Publisher | Linköpings universitet, Statsvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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