Towards Quantification of Explainability Algorithms
Abstract
Supplementary Material
- Download
- 1.68 MB
References
Recommendations
Explainable artificial intelligence, lawyer's perspective
ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and LawExplainable artificial intelligence (XAI) is a research direction that was already put under scrutiny, in particular in the AI&Law community. Whilst there were notable developments in the area of (general, not necessarily legal) XAI, user experience ...
Towards Explainability as a Functional Requirement: A Vision to Integrate the Legal, End-User, and ML Engineer Perspectives
RAIE '24: Proceedings of the 2nd International Workshop on Responsible AI EngineeringThe rapid advancement and integration of artificial intelligence (AI) in various sectors have accentuated the importance of explainability in AI systems. This vision paper presents an exploration into the multifaceted nature of AI explainability, ...
How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and TransparencyThere have been several research works proposing new Explainable AI (XAI) methods designed to generate model explanations having specific properties, or desiderata, such as fidelity, robustness, or human-interpretability. However, explanations are ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 107Total Downloads
- Downloads (Last 12 months)20
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format