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Research . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Research . 2022
License: CC BY
Data sources: Datacite
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Civic Coding. Empirische Erkenntnisse und Empfehlungen zur Unterstützung gemeinwohlorientierter KI

Authors: Züger, Theresa; Katzy-Reinshagen, Anna; Fassbender, Judith; Kuper, Freia; Kühnlein, Irina;

Civic Coding. Empirische Erkenntnisse und Empfehlungen zur Unterstützung gemeinwohlorientierter KI

Abstract

Der Einsatz von Künstlicher Intelligenz (KI) im Sinne des Gemeinwohls steckt noch in einer Erprobungsphase. Dieses Policy Paper präsentiert empirische Ergebnisse der Civic Coding- Studie, die die empirischen Befunde aus 20 Expert*innen-Interviews und zehn Fallstudien aus unterschiedlichen gemeinwohlorientierten Tech-Projekten vorstellt. Die Studie beschreibt zentrale Potenziale, Erfolgsfaktoren, Risiken, Herausforderungen und die Bedarfe gemeinwohl- orientierter Tech-Projekte. Auf Basis der Ergebnisse wurden 16 Empfehlungen entwickelt, die zur nachhaltigen Förderung gemeinwohlorientierter KI beitragen sollen.

Keywords

Policy Paper, Civic Coding, Gemeinwohlorientierte Künstliche Intelligenz

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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