首页|Researchers Submit Patent Application, 'Systems And Methods For Evaluating Count erfactual Samples For Explaining Machine Learning Models', for Approval (USPTO 2 0240095553)
Researchers Submit Patent Application, 'Systems And Methods For Evaluating Count erfactual Samples For Explaining Machine Learning Models', for Approval (USPTO 2 0240095553)
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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 andweaknesses of the model’s decision-making process. Explainabl e machine learning may be necessary toestablish trust in the output generated b y 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 isrecommending a particular procedure for a patient.
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