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An Ecosystem for Deploying Artificial Intelligence in Public Administration
Areti Karamanou, Evdokia Mangou, Konstantinos Tarabanis

An Ecosystem for Deploying Artificial Intelligence in Public Administration

Science & Mathematics Published 2023 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title An Ecosystem for Deploying Artificial Intelligence in Public Administration
Author / Organization Areti Karamanou, Evdokia Mangou, Konstantinos Tarabanis
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2023
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-252518
Original Source Link Visit Source Page on hal.science »