XAI—Explainable artificial intelligence
David Gunning, Mark Stefik, Jaesik Choi, Tim Miller, Simone Stumpf, Guang‐Zhong Yang
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Grounding in communication. | 1991 | 4,435 |
| Explainable AI: Interpreting, Explaining and Visualizing Deep Learning | 2019 | 1,386 |
What cites it, inside the corpus
Links
Topics
| Explainable Artificial Intelligence (XAI) | Computer Science |
| Machine Learning in Healthcare | Computer Science |
| Scientific Computing and Data Management | Decision Sciences |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports6 author record(s) attached.
- supports7 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 6e314d9c6052d1ed…