Author
Listed:
- Armenia ANDRONICEANU
(Professor PhD, Bucharest University of Economic Studies, Bucharest, Faculty of Administration and Public Management, Bucharest, Romania)
Abstract
Artificial Intelligence (AI) is playing an increasingly important role in public administration, offering innovative solutions for efficiency and better public services. The application of AI in public administration aims to modernise and streamline the services offered to citizens. AI contains advanced algorithms, neural networks, and machine learning techniques to improve performance and efficiency over time. Smart algorithms, responsibly implemented, could help governments enhance service delivery and strengthen citizen engagement in local, city, regional, and national administrations around the world. Governments in some states have discreetly launched pilot programs to test developing AI applications, demonstrating an enthusiasm for technology at least as great as that in the private sector. By utilising AI, public administrations can automate repetitive processes, optimize resource usage, and improve interaction with the public. The purpose of the research is to show the extent and scope that AI tools integrated into organisations have in almost all areas of the public and private sectors in general, and state administrations in particular. The research objectives were: to analyse the dynamics of investments in AI tools; to discover the main services in state administrations that can be better performed using AI; to analyse the risks; and to highlight the perspective of development and integration of AI in public administrations of a few European states. The research is based on a comparative analysis of the implementation of AI tools across fields, components, and regions at the European level mainly, but also for Romania. The analysis period is 2021-2030. The results show a continuously increasing trend and an ever-faster rate of assimilation of AI tools in the field of public administration in an increasing number of states from most developed regions worldwide.
Suggested Citation
Armenia ANDRONICEANU, 2024.
"Generative Artificial Intelligence, Present And Perspectives In Public Administration,"
REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2024(43), pages 105-119.
Handle:
RePEc:rom:rampas:v:2024:y:2024:i:43:p:105-119
Download full text from publisher
More about this item
Keywords
;
;
;
;
JEL classification:
- H5 - Public Economics - - National Government Expenditures and Related Policies
- H7 - Public Economics - - State and Local Government; Intergovernmental Relations
- R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis
Statistics
Access and download statistics
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:rom:rampas:v:2024:y:2024:i:43:p:105-119. 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: Androniceanu Armenia (email available below). General contact details of provider: https://edirc.repec.org/data/ccasero.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.