A 2019 paper furthers machine unlearning research by introducing a framework that expedites the unlearning process by strategically limiting the influence of data points in the training procedure.

Machine Unlearning (MU) has recently gained considerable attention due to its potential to achieve Safe AI by removing the influence of specific data from trained Machine Learning (ML) models. This ...

The novel approach to making systems forget data is called "machine unlearning" by the two researchers who are pioneering the concept. Instead of making a model directly depend on each ...

Companies of all kinds use machine learning to analyze people’s desires, dislikes, or faces. Some researchers are now asking a different question: How can we make machines forget? A nascent area ...

New 'machine unlearning' technique wipes out unwanted data quickly and completely Novel approach enables removal of data without retraining a computer learning system from scratch leading to ...

In fact, an emergent research field called “machine unlearning” has taken shape in recent years to figure out what methods can make AI models selectively and retroactively forget training data ...

He suspects machine unlearning may prove to be similar, more a demonstration of technical acumen than a major shift in data protection. Even if machines learn to forget, users will have to ...