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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 ...
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 ...
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]
If you've ever had a question about artificial intelligence or how it works, YouTube's latest Originals series, The Age of A.I ., tries to answer those questions. The new eight-part show, which is ...
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 ...
The second overarching factor when considering explainable AI is assessing the trade-offs of “true explainable and transparent AI.”. Currently there is a trade-off in some tasks between ...
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 ...
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [ 2]