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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.
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.
xAI is an AI company with the mission of advancing scientific discovery and gaining a deeper understanding of our universe. Our first product is Grok - a conversational AI.
May 24, 2021 · Explainable AI, or XAI, is a set of tools and techniques that help people understand the math inside AI models to provide greater transparency on decision-making.
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...
Dec 5, 2023 · Explainable artificial intelligence (XAI) refers to a collection of procedures and techniques that enable machine learning algorithms to produce output and results that are understandable and reliable for human users.
XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.
Oct 12, 2021 · Explainable Artificial Intelligence (XAI) is one of the youngest and one of the fastest developing branches of the field. The objective of the XAI method is to provide an explanation for the deep learning model that is understandable by humans.
Conclusions. To address the growing heterogeneity and lack of agreement on what constitutes an explainable or interpretable model, we introduced a novel theoretical framework to consolidate research and methods developed in the field of explainable AI (XAI).
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.
