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X.AI Corp., doing business as xAI, is an American startup company working in the area of artificial intelligence (AI). Founded by Elon Musk in March 2023, its stated goal is "to understand the true nature of the universe".
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.
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.
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.
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.
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.
Jul 12, 2021 · Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (e.g., classification...
Jan 23, 2024 · We enhance cutting-edge XAI approaches for explaining ML models, and models that explain deep neural networks to HC-XAI models, shaping the final output of black-box models considering the context and biases while allowing feedback and adjustment from the user.
the XAI toolbox: to drive technical choices by users’ explainability needs, to uncover pitfalls of existing XAI methods and inform new methods, and to provide conceptual frameworks for human-compatible XAI.
Explainable AI (XAI) refers to the ability of an artificial intelligence (AI) system or model to provide clear and understandable explanations for its actions or decisions. In other words, XAI is about making AI transparent and interpretable to humans.
