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Artificial intelligence. 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. [ 1][ 2] The main focus is usually on the ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
This has led to advocacy and in some jurisdictions legal requirements for explainable artificial intelligence. [68] Explainable artificial intelligence encompasses both explainability and interpretability, with explainability relating to summarizing neural network behavior and building user confidence, while interpretability is defined as the ...
Technological University Dublin. Luca Longo is an Italian computer scientist specializing in Explainable artificial intelligence [1], Deep Learning and Argumentation theory with research in the areas of Human performance modeling. As the founder and general chair of the World Conference on Explainable artificial intelligence [2], he performs ...
Right to explanation. In the regulation of algorithms, particularly artificial intelligence and its subfield of machine learning, a right to explanation (or right to an explanation) is a right to be given an explanation for an output of the algorithm. Such rights primarily refer to individual rights to be given an explanation for decisions that ...
A. Affective computing (1 C, 10 P) AI accelerators (12 P) AI software (1 C, 33 P) Ambient intelligence (2 C, 21 P) Applications of artificial intelligence (24 C, 123 P) Argument technology (1 C, 20 P) Artificial immune systems (4 P) Artificial intelligence art (2 C, 52 P)
Artificial intelligence. The following outline is provided as an overview of and topical guide to artificial intelligence: Artificial intelligence (AI) is intelligence exhibited by machines or software. It is also the name of the scientific field which studies how to create computers and computer software that are capable of intelligent behaviour.
Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. [135] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [136]
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