An Ecosystem for Deploying Artificial Intelligence in Public Administration
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 » |