- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
A data-centric approach for ethical and trustworthy AI in journalism ; volume:26 ; number:4 ; day:28 ; month:9 ; year:2024 ; pages:1-13 ; date:12.2024
Ethics and information technology ; 26, Heft 4 (28.9.2024), 1-13, 12.2024
- Creator
-
Dierickx, Laurence
Opdahl, Andreas Lothe
Khan, Sohail Ahmed
Lindén, Carl-Gustav
Guerrero Rojas, Diana Carolina
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10676-024-09801-6
- URN
-
urn:nbn:de:101:1-2502040925217.393352301992
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dierickx, Laurence
- Opdahl, Andreas Lothe
- Khan, Sohail Ahmed
- Lindén, Carl-Gustav
- Guerrero Rojas, Diana Carolina
- SpringerLink (Online service)
Other Objects (12)
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
All that glitters is not gold: trustworthy and ethical AI principles
Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice
What is trustworthy AI?
Trustworthy AI: responses to commentators
Data-Centric AI
Trustworthy AI: AI made in Germany and Europe?
Simion and Kelp on trustworthy AI
Supporting Trustworthy AI Through Machine Unlearning
Human-centric AI: philosophical and community-centric considerations
Trustworthy AI: a plea for modest anthropocentrism
Ethics-Based Auditing to Develop Trustworthy AI
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
All that glitters is not gold: trustworthy and ethical AI principles
Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice
What is trustworthy AI?
Trustworthy AI: responses to commentators
Data-Centric AI
Trustworthy AI: AI made in Germany and Europe?
Simion and Kelp on trustworthy AI
Supporting Trustworthy AI Through Machine Unlearning
Human-centric AI: philosophical and community-centric considerations
Trustworthy AI: a plea for modest anthropocentrism
Ethics-Based Auditing to Develop Trustworthy AI
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
All that glitters is not gold: trustworthy and ethical AI principles
Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice
What is trustworthy AI?
Trustworthy AI: responses to commentators
Data-Centric AI
Trustworthy AI: AI made in Germany and Europe?
Simion and Kelp on trustworthy AI
Supporting Trustworthy AI Through Machine Unlearning
Human-centric AI: philosophical and community-centric considerations
Trustworthy AI: a plea for modest anthropocentrism