An Ecosystem for Deploying Artificial Intelligence in Public Administration


연구 분야: Networking



학회: International Conference on Electronic Government


초록

The public sector is an immensely valuable resource of data, which has the potential to be harnessed for a wide range of applications. However, there are several challenges that impede the collection and dissemination of this data, including high variability and rapid obsolescence. Despite these challenges, emerging technologies such as Artificial Intelligence (AI) offer the potential to create intelligent applications that can unlock the full potential of public sector data. In this work, we propose a holistic ecosystem that can be utilized for the implementation and evaluation of AI technologies in public administration. To illustrate this, we present a case study focusing on dynamic government data, specifically transport data, in order to extract the various components of the ecosystem and their interdependencies. This case study was chosen due to the fact that real-time dynamic data remains an underexplored form of public sector data.


Author Profile
Areti Karamanou

Information Systems Lab Department of Business Administration University of Macedonia Egnatia 156 54636 Thessaloniki Greece

Greece
Author Profile
Evdokia Mangou

Region of Central Macedonia Vasilissis Olgas Avenue 198 54110 Thessaloniki Greece

Greece
Author Profile
Konstantinos Tarabanis

Information Systems Lab Department of Business Administration University of Macedonia Egnatia 156 54636 Thessaloniki Greece

Greece

📄 논문 정보

발행 연도 2023년
인용수 0
출판 국가 Greece
사이트 Springer
좋아요 수 0

연관 논문 목록 (176건)