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| Link zu diesem Datensatz | https://d-nb.info/1369088132 |
| Titel | Artificial Intelligence in Government : Latin America Challenges and Expectations / edited by Rodrigo Sandoval-Almazán, David Valle-Cruz |
| Person(en) |
Sandoval-Almazán, Rodrigo (Herausgeber) Valle-Cruz, David (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, VI, 253 p. 38 illus., 33 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-87622-6 Printed edition:: ISBN: 978-3-031-87624-0 Printed edition:: ISBN: 978-3-031-87625-7 |
| Inhalt | -- Part I. Introduction to Artificial Intelligence. -- Application of Artificial Intelligence in Latin American Public Management: A PRISMA Study. -- Public Servants as Catalysts: Steering the Adoption of Artificial Intelligence. -- PART. 2. Benefits and challenges of Implementation of AI in the Public Sector. -- Benefits of Artificial Intelligence in the Public Sector: an Analysis from the Perspective of the State Governments of Mexico. -- Exploring the potential of the integration of Artificial Intelligence in the design and implementation of social programs in Mexico. -- PART 3. Governance and Regulation of AI in the Public Sector. -- Artificial Intelligence in Public Administration: Mapping Institutional Ecosystems across Four Latin American Governments. -- Regulation by algorithms? An analysis of Peruvian and Colombian regulators. -- Transparency and Rationality in Peruvian Public Works Assisted by AI: A Literature Review. -- PART 4. Tools and Techniques for Information Management with AI. -- Harnessing Artificial Intelligence and Visual Analytics for Modeling Government-Citizen Interaction in Argentinean Institutions. -- Integrating IoT and YOLO-Based AI for Intelligent Traffic Management in Latin American Cities |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2506190408528.679864986008 DOI: 10.1007/978-3-031-87623-3 |
| URL | https://doi.org/10.1007/978-3-031-87623-3 |
| ISBN/Einband/Preis | 978-3-031-87623-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Public Administration and Information Technology ; 41 |
| DDC-Notation | 658.5 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 650 Management |
| Online-Zugriff | Archivobjekt öffnen |
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