Knowledge representation and acquisition for ethical AI: challenges and opportunities
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Knowledge representation and acquisition for ethical AI: challenges and opportunities ; volume:25 ; number:1 ; day:11 ; month:3 ; year:2023 ; pages:1-12 ; date:3.2023
Ethics and information technology ; 25, Heft 1 (11.3.2023), 1-12, 3.2023
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10676-023-09692-z
- URN
-
urn:nbn:de:101:1-2023081321042221324259
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 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
- Belle, Vaishak
- SpringerLink (Online service)
Ähnliche Objekte (12)
Ethical data acquisition for LLMs and AI algorithms in healthcare
Ethical risk for AI
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
An AI without ethical boundaries?
Considerations for a more ethical approach to data in AI: on data representation and infrastructure
AI for chemistry teaching: responsible AI and ethical considerations
Limits of AI - theoretical, practical, ethical
The ethical wisdom of AI developers
The ethical agency of AI developers
Beyond the promise: implementing ethical AI
Socialisation approach to AI value acquisition: enabling flexible ethical navigation with built-in receptiveness to social influence
Fair AI : Challenges and Opportunities
Ethical data acquisition for LLMs and AI algorithms in healthcare
Ethical risk for AI
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
An AI without ethical boundaries?
Considerations for a more ethical approach to data in AI: on data representation and infrastructure
AI for chemistry teaching: responsible AI and ethical considerations
Limits of AI - theoretical, practical, ethical
The ethical wisdom of AI developers
The ethical agency of AI developers
Beyond the promise: implementing ethical AI
Socialisation approach to AI value acquisition: enabling flexible ethical navigation with built-in receptiveness to social influence
Fair AI : Challenges and Opportunities
Ethical data acquisition for LLMs and AI algorithms in healthcare
Ethical risk for AI
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
An AI without ethical boundaries?
Considerations for a more ethical approach to data in AI: on data representation and infrastructure
AI for chemistry teaching: responsible AI and ethical considerations
Limits of AI - theoretical, practical, ethical
The ethical wisdom of AI developers
The ethical agency of AI developers
Beyond the promise: implementing ethical AI
Socialisation approach to AI value acquisition: enabling flexible ethical navigation with built-in receptiveness to social influence