The obvious use case is to comply with things like copyright and data protection laws (e.g. GDPR) without having to discard all models that used data unlawfully in training.
Even though they talk about removing biases from the model, I doubt this would make the model unlearn whole ideas/data patterns without severely damaging performance, which they clearly don't want.