A regulatory remedy requiring deletion of unlawfully obtained data and, in some cases, deletion of models or derived artifacts trained using that data (including weights, checkpoints, or fine-tunes). It may be sought where deleting the underlying dataset alone would not address downstream effects.
See: Machine Unlearning; Prohibited AI practices; Training data