Abstract
From Washington, D.C., NewsRx journalists report that a patent application by the inventors BARR, Brian (Schenectady, NY, US); BRUSS, Christopher Bayan (Washington, DC, US); HUANG, Jocelyn (Purcellville, VA, US); SHARPE, Samuel (Cambridge, MA, US); VERMA, Sahil (San Francisco, CA, US), filed on July 26, 2022, was made available online on February 1, 2024. The patent’s assignee is Capital One Services LLC (McLean, Virginia, United States). News editors obtained the following quote from the background information supplied by the inventors: “Explainable artificial intelligence or machine learning (XAI) includes a set of methods that allows human users to understand why certain results or output was generated by a machine learning model. XAI may be used to explain a machine learning model’s reasoning and characterize the strengths and weaknesses of the model’s decision-making process. XAI may be necessary to establish trust in the output generated by machine learning models. For example, for ethical reasons, legal reasons, and to increase trust, a doctor may need to understand why a machine learning model is recommending a particular procedure for a patient.”
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