No. Humans will feed the new data into the system/neural network. Humans will not use the data to improve the version. The learning will be done on its own, based on the human feedback (thumbs up or thumbs down) on the interactions it had. The network will update its weights parameters to optimize for higher probability of thumbs up. Just like humans optimize for thumbs up and positive feedback from the interactions we have.