Fully erasing the influence of the data requested to be deleted is challenging since, aside from simply deleting it from databases where it's stored, it also requires erasing the influence of that data on other artifacts such as trained machine learning models.

Machine unlearning is an emergent subfield of machine learning that aims to remove the influence of a specific subset of training examples — the "forget set" — from a trained model.

--Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google

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