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XAI counters the "black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision. [6] [7] XAI hopes to help users of AI-powered systems perform more effectively by improving their understanding of how those systems reason. [8] XAI may be an implementation of the social right to ...
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. [129] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [ 130 ]
Solve problems and you get both the answers and confirmation that your AI can think for itself, unlike models such as OpenAI’s GPT-4 that essentially regurgitate their training material ...
The field of Explainable AI seeks to provide better explanations from existing algorithms, and algorithms that are more easily explainable, but it is a young and active field. [ 18 ] [ 19 ] Others argue that the difficulties with explainability are due to its overly narrow focus on technical solutions rather than connecting the issue to the ...
X.AI Corp., doing business as xAI, is an American public-benefit corporation [4] working in the area of artificial intelligence (AI). [ 5 ] [ 6 ] Founded by Elon Musk in March 2023, its stated goal is "to understand the true nature of the universe".
Musk has since launched xAI with a team of engineers from some of his biggest rivals, including Microsoft and Google. The goal of xAI is to create an AGI, or artificial general intelligence, that ...
The deal would make xAI one of Oracle's largest customers, the report said, as Musk looks to raise funds for xAI in an attempt to rival the AI offerings of OpenAI and Google. XAI was reportedly in ...
The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.