Artificial agents’ explainability to support trust: considerations on timing and context
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1435-5655
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Artificial agents’ explainability to support trust: considerations on timing and context ; day:27 ; month:6 ; year:2022 ; pages:1-14
AI & society ; (27.6.2022), 1-14
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00146-022-01462-7
- URN
-
urn:nbn:de:101:1-2022081920413297985105
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 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
- Papagni, Guglielmo
- Pagter, Jesse de
- Zafari, Setareh
- Filzmoser, Michael
- Koeszegi, Sabine T.
- SpringerLink (Online service)
Other Objects (12)
Explainability of power grid attack strategies learned by Deep Reinforcement Learning Agents
Explainability of operating systems
RELAX: Representation Learning Explainability
On Explainability and its Characterization
Explainability in Deep Reinforcement Learning
Can explainability improve trustworthiness in AI?
Evaluation of explainability in autoscaling frameworks
Advancing Model Explainability in Pervasive Computing
The timing of umbilical cord clamping at birth: physiological considerations
Trust-aware agents for self-organising computing systems
Evaluating Explainability Methods Intended for Multiple Stakeholders
Explainability, Public Reason, and Medical Artificial Intelligence
Explainability of power grid attack strategies learned by Deep Reinforcement Learning Agents
Explainability of operating systems
RELAX: Representation Learning Explainability
On Explainability and its Characterization
Explainability in Deep Reinforcement Learning
Can explainability improve trustworthiness in AI?
Evaluation of explainability in autoscaling frameworks
Advancing Model Explainability in Pervasive Computing
The timing of umbilical cord clamping at birth: physiological considerations
Trust-aware agents for self-organising computing systems
Evaluating Explainability Methods Intended for Multiple Stakeholders
Explainability, Public Reason, and Medical Artificial Intelligence
Explainability of power grid attack strategies learned by Deep Reinforcement Learning Agents
Explainability of operating systems
RELAX: Representation Learning Explainability
On Explainability and its Characterization
Explainability in Deep Reinforcement Learning
Can explainability improve trustworthiness in AI?
Evaluation of explainability in autoscaling frameworks
Advancing Model Explainability in Pervasive Computing
The timing of umbilical cord clamping at birth: physiological considerations
Trust-aware agents for self-organising computing systems
Evaluating Explainability Methods Intended for Multiple Stakeholders