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Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
Nov 1, 2023 · Based on the literature, we highlight and discuss XAI’s open challenges and future directions in terms of (i) XAI system design, (ii) generalization of XAI, (iii) user interactions with XAI, (iv) XAI ground truth evaluation, and (v) advanced XAI tools.
Nov 28, 2023 · Explainable AI (XAI) techniques provide the means to try to unravel the mysteries of AI decision-making, helping end users easily understand and interpret model predictions. This post explores...
May 24, 2021 · Explainable AI, also abbreviated as XAI, is a set of tools and techniques used by organizations to help people better understand why a model makes certain decisions and how it works.
Explainable AI ( XAI ), often overlapping with interpretable AI, or explainable machine learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this.
Oct 22, 2019 · Paradigms underlying this problem fall within the so-called eXplainable AI (XAI) field, which is acknowledged as a crucial feature for the practical deployment of AI models. This overview examines the existing literature in the field of XAI, including a prospect toward what is yet to be reached.
Sep 19, 2022 · XAI, also known as interpretable machine learning (IML), aims to build machine learning models that humans can understand. It is a field of research and the set of existing tools and methodologies developed by that field.
Apr 17, 2022 · 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.
Jan 16, 2023 · Explainable artificial intelligence (XAI) aims to provide a suite of machine learning techniques that enable human users to understand, appropriately trust, and produce more explainable models.
Oct 30, 2023 · In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains.
