Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence (XAI) is a topic indexed in ScholarIQ from OpenAlex.

What is known about Explainable Artificial Intelligence (XAI)?

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.

How many works does Explainable Artificial Intelligence (XAI) have?

Explainable Artificial Intelligence (XAI) has 136 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Explainable Artificial Intelligence (XAI)?

The OpenAlex for Explainable Artificial Intelligence (XAI) is on the source record.

What are the most-cited papers on Explainable Artificial Intelligence (XAI)?

Where is Explainable Artificial Intelligence (XAI) research published, and who funds it?

How much of the research on Explainable Artificial Intelligence (XAI) is open access?