Explainable AI Methods - A Brief Overview

Abstract Explainable Artificial Intelligence (xAI) is an established field with a vibrant community that has developed a variety of very successful approaches to explain and interpret predictions of complex machine learning models such as deep neural networks. In this article, we briefly introduce a few selected methods and discuss them in a short, clear and concise way. The goal of this article is to give beginners, especially application engineers and data scientists, a quick overview of the s

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ethics.ai (1 January 2022), “Explainable AI Methods - A Brief Overview,” evidence record 9136, https://ethics.ai/record/9136 (originally published by OpenAlex).

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