Author
Listed:
- Junaid Sattar Butt
(University of Lahore)
Abstract
Artificial Intelligence (AI) is revolutionizing public administration in Nordic countries like Denmark, Finland, Iceland, Norway, and Sweden. This integration of AI technologies is transforming governance practices, improving efficiency, service quality, and citizen engagement. The European Union tracks and quantifies the digitization of public and fiscal administration using the Digital Economy and Society Index (DESI)2 index, indicating the level of digitization at the European level. The study explores the use of AI in Nordic states, focusing on strategies and integration of AI technologies in service delivery processes. It examines the region’s strong digital infrastructure, emphasis on responsible data use, and high public trust in government. The research reviews policies, strategies, and case studies to understand the drivers, challenges, and outcomes of AI deployment in various administrative domains. It also compares the use of AI in Nordic Public Administration with other European Economic Sectors, identifying lessons learned and best practices for future implementation. The study aims to identify strengths and potential challenges for Nordic states in enhancing efficiency, transparency, and citizen engagement. The findings contribute to both scholarly discourse and practical policymaking by offering insights into the opportunities and challenges associated with AI adoption in Nordic public administration and further underscores the importance of fostering interdisciplinary collaboration, knowledge exchange, and international partnerships to maximize the benefits of AI while addressing concerns about fairness, equity, and societal impact. Ultimately, this research contributes to a deeper understanding of the evolving role of AI in shaping the future of governance and public service delivery in the Nordic region.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dug:journl:y:2024:i:1:p:40-66. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Florian Nuta (email available below). General contact details of provider: https://edirc.repec.org/data/fedanro.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.