[friendzis]

> We need to consider the practicality of unlearning methods in real-world applications and the legal acceptance of the same. > probably there should be a time-to-unlearn kind of an acceptable agreement

A very important distinction is between data storage and data use/dissemination. Your comment hints at "use current model until retrained is available and validated", which is an extremely dangerous idea.

Remember old times of music albums distributed over physical media. Suppose a publisher creates a mix, stocks shelves with album and it becomes known that one of the tracks is not properly licensed. It would be expected that it takes some time to execute distribution shutdown: distribute order, clean up shelves, etc. However, time for another production run with a modified tracklist would be entirely the problem of the publisher in question.

The window for time-to-unlearn should only depend on practicality of stopping information dissemination, not getting updated source ready. Otherwise companies will simply wait for model to be retrained on a single 1080 and call it a day, which would effectively nullify the law.