# Explainable Artificial Intelligence (XAI)

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/explainable-artificial-intelligence-xai-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 460,971 |
| Description | This cluster of papers focuses on Explainable Artificial Intelligence (XAI) and the development of interpretable models, visual explanations, and responsible machine learning interpretability. It explores concepts, challenges, and opportunities in XAI, including the use of gradient-based localization, understanding deep neural networks, feature importance, and addressing black box models. The papers also discuss the responsibility and ethical considerations in AI. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12026 |
| Works | 56,578 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Steven L. Salzberg](https://scholariq.org/researchers/steven-l-salzberg/)
- [Ross Girshick](https://scholariq.org/researchers/ross-girshick/)
- [John P. A. Ioannidis](https://scholariq.org/researchers/john-p-a-ioannidis/)
- [Elie A. Akl](https://scholariq.org/researchers/elie-a-akl/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Roger Chou](https://scholariq.org/researchers/roger-chou/)
- [James Thomas](https://scholariq.org/researchers/james-thomas/)
- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)
- [Dirk Schadendorf](https://scholariq.org/researchers/dirk-schadendorf/)
- [Tianjing Li](https://scholariq.org/researchers/tianjing-li/)
- [Holger J. Schünemann](https://scholariq.org/researchers/holger-j-schunemann/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.