- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Is explainable AI responsible AI? ; day:20 ; month:4 ; year:2024 ; pages:1-10
AI & society ; (20.4.2024), 1-10
- Klassifikation
-
Philosophie
- Urheber
-
Taylor, Isaac
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00146-024-01939-7
- URN
-
urn:nbn:de:101:1-2407022107528.680940405424
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Taylor, Isaac
- SpringerLink (Online service)
Ähnliche Objekte (12)
What is explainable AI?
Explainable AI (ex-AI)
Explainable AI
Operationalizing responsible AI principles through responsible AI capabilities
What does explainable AI explain?
Explainable AI improves task performance in human–AI collaboration
Putting explainable AI in context: institutional explanations for medical AI
AI for chemistry teaching: responsible AI and ethical considerations
Exploring explainable AI: a bibliometric analysis
Explainable AI in the military domain
Privacy-preserving explainable AI: a survey
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology
What is explainable AI?
Explainable AI (ex-AI)
Explainable AI
Operationalizing responsible AI principles through responsible AI capabilities
What does explainable AI explain?
Explainable AI improves task performance in human–AI collaboration
Putting explainable AI in context: institutional explanations for medical AI
AI for chemistry teaching: responsible AI and ethical considerations
Exploring explainable AI: a bibliometric analysis
Explainable AI in the military domain
Privacy-preserving explainable AI: a survey
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology
What is explainable AI?
Explainable AI (ex-AI)
Explainable AI
Operationalizing responsible AI principles through responsible AI capabilities
What does explainable AI explain?
Explainable AI improves task performance in human–AI collaboration
Putting explainable AI in context: institutional explanations for medical AI
AI for chemistry teaching: responsible AI and ethical considerations
Exploring explainable AI: a bibliometric analysis
Explainable AI in the military domain
Privacy-preserving explainable AI: a survey