Explainable artificial intelligence: : A survey of needs, techniques, applications, and future direction
References
Index Terms
- Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
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 ...
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
AbstractUnderstanding black box models has become paramount as systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response, Explainable AI (XAI) has emerged as a field of research with ...
Accessible Cultural Heritage through Explainable Artificial Intelligence
UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and PersonalizationEthics Guidelines for Trustworthy AI advocate for AI technology that is, among other things, more inclusive. Explainable AI (XAI) aims at making state of the art opaque models more transparent, and defends AI-based outcomes endorsed with a rationale ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
Elsevier Science Publishers B. V.
Netherlands
Publication History
Author Tags
Qualifiers
- Short-survey
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0