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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.
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 1, 2020 · “An explainable Artificial Intelligence is one that produces explanations about its functioning”) would fail to fully characterize the term in question, leaving aside important aspects such as its purpose. To build upon the completeness, a definition of explanation is first required.
Nov 1, 2023 · A more recent widely embraced definition of explainable IA is the one given in [63], where the focus is on the receiver of the explanation: given an audience, an explainable Artificial Intelligence is one that produces details or reasons to make its functioning clear or easy to understand.
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.
The Explainable AI (XAI) program aims to create a suite of machine learning techniques that: Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and. Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners.
Nov 1, 2023 · Explainable Artificial Intelligence (XAI): : What we know and what is left to attain Trustworthy Artificial Intelligence. Authors: Sajid Ali, Tamer Abuhmed, Shaker El-Sappagh, Khan Muhammad. , Jose M. Alonso-Moral, Roberto Confalonieri. , Riccardo Guidotti, Javier Del Ser, Natalia Díaz-Rodríguez, and Francisco Herrera Authors Info & Claims.
