SAFE LEARNING WITH ALERT AND REVIVE MODEL

原文（中文）

Example embodiments of the present disclosure relate to safety of machine learning models. According to example embodiments, a method for improving the safety of a machine learning model may be provided, the method including determining, based on confidence matching, whether the machine learning model is below a predefined confidence standard, generating an alert that if the estimated output quality is below the predefined confidence standard, retraining the machine learning model based on the alert, and regenerating results and retraining the system, and validating the retrained machine learning model to determine whether the retrained machine learning model is equal to or above the predefined confidence standard iteratively until an estimated safety is ensured.