• Classifiers are trained using distinct training, dev, and test sets, including the use of cross-validation in the training set. • Statistical significance tests should be used to determine whether we can be confident that one version of a classifier is better than another. • Designers of classifiers should carefully consider harms that may be caused by the model, including its training data and other components, and report model characteristics in a model card.