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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 reasoning behind the decisions ...
Human-AI collaboration is the study of how humans and artificial intelligence (AI) agents work together to accomplish a shared goal. [1] AI systems can aid humans in everything from decision making tasks to art creation. [2] Examples of collaboration include medical decision making aids., [3] [4] hate speech detection, [5] and music generation. [6]
This has led to advocacy and in some jurisdictions legal requirements for explainable artificial intelligence. 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 ...
15.ai, a real-time artificial intelligence text-to-speech tool developed by an anonymous researcher from MIT. Amazon Polly, a speech synthesis software by Amazon. Festival Speech Synthesis System, a general multi-lingual speech synthesis system developed at the Centre for Speech Technology Research (CSTR) at the University of Edinburgh.
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)
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 ...
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