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  1. Oct 12, 2021 · Measuring XAI methods with Infidelity and Sensitivity. Further reading. I’ve decided to create a series of articles explaining the most important XAI methods currently used in practice. Here is a list (will be updated with new articles): Saliency - one of the first attribution XAI methods; Deconvolution - using CNN structure for interpretability

  2. XAI aims to explain how these algorithms reach these conclusions and what factors affect the conclusion. In Wikipedia, XAI is defined as: Explainable AI (XAI) refers to methods and techniques in the application of artificial intelligence technology (AI) such that human experts can understand the results of the solution. It contrasts with the ...

  3. 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. In many cases, AI models are trained using complex algorithms and large datasets, which can ...

  4. Jun 8, 2024 · Hoàng Văn Ma, Lục Văn Pảo, Hoàng Chí (2006) Từ điển Tày-Nùng-Việt [Tay-Nung-Vietnamese dictionary] (in Vietnamese), Hanoi: Nhà xuất bản Từ điển Bách khoa Hà Nội

  5. Jul 12, 2023 · 5:12. Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, a ...

  6. x.ai › blogBlog

    Nov 3, 2023 · Grok is an AI modeled after the Hitchhiker’s Guide to the Galaxy. It is intended to answer almost anything and, far harder, even suggest what questions to ask! Read about the latest announcements from xAI including Grok, Grok-1, and the PromptIDE.

  7. Dec 18, 2019 · XAI assumes that an explanation is provided to an end user who depends on the decisions, recommendations, or actions produced by an AI system, yet there could be many different kinds of users, often at different time points in the development and use of the system . For example, a type of user might be an intelligence analyst, a judge, or an operator.

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