首页|Researchers Submit Patent Application, 'Generating Counterfactual Samples Based On User Preference', for Approval (USPTO 20240112072)
Researchers Submit Patent Application, 'Generating Counterfactual Samples Based On User Preference', for Approval (USPTO 20240112072)
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News editors obtained the following quote from the background information suppli ed by the inventors:“Explainable artificial intelligence or machine learning in cludes a set of methods that allows human users tounderstand why certain result s or output was generated by a machine learning model. Explainable machinelearn ing may be used to explain a machine learning model’s reasoning and characterize the strengths and weaknesses of the model’s decision-making process. Explainabl e machine learning may be used to establishtrust in the output generated by mac hine learning models. For example, for ethical reasons, legal reasons,and to in crease trust, a doctor may desire to understand why a machine learning model is recommendinga particular procedure for a patient.”
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