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Link zu diesem Datensatz | https://d-nb.info/1358483000 |
Titel | Participatory Artificial Intelligence in Public Social Services : From Bias to Fairness in Assessing Beneficiaries / edited by Petra Ahrweiler |
Person(en) | Ahrweiler, Petra (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, XI, 306 p. 32 illus., 25 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-71677-5 Printed edition:: ISBN: 978-3-031-71679-9 Printed edition:: ISBN: 978-3-031-71680-5 |
Inhalt | Using a Case Study Approach for Investigating the Status Quo and Future Options of AI-based Social Assessment in Public Service Provision -- Inclusive Technology Co-Design for Participatory AI -- Ethical Aspects of Research on AI-based Social Assessment -- Participatory Action Research for AI in Social Services: An Example of Local Practices from Catalonia -- Specialists and Algorithms: Implementation of AI in the Delivery of Unemployment Services in Estonia -- AI Use in the Asylum Procedure in Germany: Exploring Perspectives with Refugees and Supporters on Assessment Criteria and Beyond -- Social Assessment for the Targeted Subsidies Plan as a Social Service Provision in Iran: AI Application in the Targeted Subsidies Plan -- Social Assessment and Cultural Resistance: The Public Distribution System in Tamil Nadu, India -- The Role of AI in Effective Social Protection Delivery: The National Cash Transfer Programme in Nigeria -- The Potential of Artificial Intelligence in the Assessment of System of Social Integration of Veterans of the Russian-Ukrainian War -- Assessment for AI in Social Services: Community Virtual Nursing Home in Shanghai, China -- AI Integration in Mental Health Services: Examining Trends in the US and Peoria, Illinois -- Towards Culture-Sensitive, Responsive and Participatory AI |
Persistent Identifier |
URN: urn:nbn:de:101:1-2503040312314.007358966447 DOI: 10.1007/978-3-031-71678-2 |
URL | https://doi.org/10.1007/978-3-031-71678-2 |
ISBN/Einband/Preis | 978-3-031-71678-2 |
Sprache(n) | Englisch (eng) |
Beziehungen | Artificial Intelligence, Simulation and Society |
DDC-Notation | 303.483 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 300 Sozialwissenschaften, Soziologie, Anthropologie |
Online-Zugriff | Archivobjekt öffnen |
