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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.
Dec 5, 2023 · What is Explainable AI? 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 AI is a set of tools and frameworks to help you understand and interpret predictions made by your machine learning models, natively integrated with a number of...
Nov 1, 2023 · Usually, it is essential to understand the reasoning behind an AI model’s decision-making. Thus, the need for eXplainable AI (XAI) methods for improving trust in AI models has arisen. XAI has become a popular research subject within the AI field in recent years.
Explainable AI is a rapidly growing field that focuses on developing techniques to explain the behavior of machine learning models and complex distributed systems. The goal of explainable AI is to increase transparency, accountability, and trust in AI systems.
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.
Jun 23, 2023 · Explainable AI is a set of techniques, principles and processes that aim to help AI developers and users alike better understand AI models, both in terms of their algorithms and the outputs generated by them.
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. XAI is:
Nov 18, 2021 · 1 Altmetric. Explore all metrics. Abstract. Thanks to the exponential growth in computing power and vast amounts of data, artificial intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be ubiquitously adopted in our daily lives.
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.
