A system comprising: an article of personal protective equipment (PPE) associated with one or more sensors, the one or more sensors configured to generate usage data that is indicative of an operation of the article of PPE; and at least one computing device comprising a memory and one or more computer processors that: receive the usage data that is indicative of the operation of the article of PPE; apply the usage data to a safety learning model that predicts a likelihood of an occurrence of a safety event associated with the article of PPE based at least in part on previously generated usage data that corresponds to the safety event; based at least in part on predicting the likelihood of the occurrence of the safety event, alter an operation of the article of PPE: wherein the safety learning model is trained by: selection of a training set comprising a set of training instances, each training instance comprising an association between usage data and a safety event, wherein the usage data comprise one or more metrics that characterize at least one of a user, a work environment, or one or more articles of PPE; and for each training instance in the training set, modification, based on particular usage data and a particular safety event of the training instance, of the safety learning model to change a likelihood predicted by the safety learning model for the particular safety event in response to subsequent usage data applied to the safety learning model. an article of personal protective equipment (PPE) associated with one or more sensors, the one or more sensors configured to generate usage data that is indicative of an operation of the article of PPE; and at least one computing device comprising a memory and one or more computer processors that: receive the usage data that is indicative of the operation of the article of PPE; apply the usage data to a safety learning model that predicts a likelihood of an occurrence of a safety event associated with the article of PPE based at least in part on previously generated usage data that corresponds to the safety event; based at least in part on predicting the likelihood of the occurrence of the safety event, alter an operation of the article of PPE: receive the usage data that is indicative of the operation of the article of PPE; apply the usage data to a safety learning model that predicts a likelihood of an occurrence of a safety event associated with the article of PPE based at least in part on previously generated usage data that corresponds to the safety event; based at least in part on predicting the likelihood of the occurrence of the safety event, alter an operation of the article of PPE: wherein the safety learning model is trained by: selection of a training set comprising a set of training instances, each training instance comprising an association between usage data and a safety event, wherein the usage data comprise one or more metrics that characterize at least one of a user, a work environment, or one or more articles of PPE; and for each training instance in the training set, modification, based on particular usage data and a particular safety event of the training instance, of the safety learning model to change a likelihood predicted by the safety learning model for the particular safety event in response to subsequent usage data applied to the safety learning model. <EOS>