Abstract: One variation of a method for training and refining an artificial intelligence includes: training a neural network on a training set to identify objects in optical images; receiving a manual label attributed to an optical image—recorded by a road vehicle during its operation—by a human annotator; passing the optical image through the neural network to generate an automated label attributed to the optical image; in response to the manual label differing from the automated label, serving the optical image to a human annotator for manual confirmation of one of the manual label and the automated label; appending the training set with the optical image containing one of the manual label and the automated label based on confirmation received from the human annotator; and retraining the neural network, with the training set, to identify objects in optical images.