An integrated artificial intelligence framework for public management. Issue 7 (3rd July 2019)
- Record Type:
- Journal Article
- Title:
- An integrated artificial intelligence framework for public management. Issue 7 (3rd July 2019)
- Main Title:
- An integrated artificial intelligence framework for public management
- Authors:
- Wirtz, Bernd W.
Müller, Wilhelm M. - Abstract:
- ABSTRACT: Artificial intelligence (AI) extends the limits of current performance in data processing and analysis many times over. Since this states a great improvement in managing public data, this conceptual study discusses the use of AI in public management structures in connection with their risks and side effects. The exercise of state power and public influence through intelligent machines make ethical and political guidelines essential for their operation, constituting the cornerstones of the AI framework model developed here. The organizational structure and technical specification are additional aspects of the AI that determine design and functionality of the framework model in practical application.
- Is Part Of:
- Public management review. Volume 21:Issue 7(2019)
- Journal:
- Public management review
- Issue:
- Volume 21:Issue 7(2019)
- Issue Display:
- Volume 21, Issue 7 (2019)
- Year:
- 2019
- Volume:
- 21
- Issue:
- 7
- Issue Sort Value:
- 2019-0021-0007-0000
- Page Start:
- 1076
- Page End:
- 1100
- Publication Date:
- 2019-07-03
- Subjects:
- Artificial intelligence -- framework -- conceptual study -- public administration -- public business model
Local government -- Periodicals
Public administration -- Periodicals
351.05 - Journal URLs:
- http://www.tandfonline.com/toc/rpxm20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/14719037.2018.1549268 ↗
- Languages:
- English
- ISSNs:
- 1471-9037
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6967.717700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10208.xml