Machine unlearning: how can information be ‘forgotten’ in the age of viral data spread?

If whilst watching a courtroom drama you’ve ever wondered if the jury is truly going to ‘disregard that last remark’ as per the judge’s instructions, you already understand the problem of data pervasiveness. If you’ve ever given permission to a company to share your personal or contact information with third-parties, and have found that cancelling the original agreement does not cancel it with an ever-growing fractal spiral of third parties who retain your data (the original source of which is now irrelevant or even possibly non-existent), then you understand the practical issues in getting networks to ‘forget’ information. And if you’ve ever flagged a genuine email as ‘spam’ in Gmail, you’re part of the problem. The problem is in getting machines to forget what they already know when source data…


Link to Full Article: Machine unlearning: how can information be ‘forgotten’ in the age of viral data spread?