Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities ; day:9 ; month:5 ; year:2023 ; pages:1-13
AI & society ; (9.5.2023), 1-13
- Urheber
-
O’Connor, Sinead
Liu, Helen
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00146-023-01675-4
- URN
-
urn:nbn:de:101:1-2023090708561795214465
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:03 MESZ
Datenpartner
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Beteiligte
- O’Connor, Sinead
- Liu, Helen
- SpringerLink (Online service)
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