Capturing the unobservable in AI development: proposal to account for AI developer practices with ethnographic audit trails (EATs)
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Capturing the unobservable in AI development: proposal to account for AI developer practices with ethnographic audit trails (EATs) ; day:2 ; month:9 ; year:2024 ; pages:1-14
AI and ethics ; (2.9.2024), 1-14
- Urheber
-
Wu, Yung-Hsuan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s43681-024-00535-1
- URN
-
urn:nbn:de:101:1-2411172108480.099770368105
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
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Beteiligte
- Wu, Yung-Hsuan
- SpringerLink (Online service)
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