Machine Unlearning

The process of removing the influence of specific training data from a trained machine learning model, supporting compliance with data deletion requests and privacy regulations.

The technical process of making an AI "forget" specific data it was trained on. If someone exercises their right to be forgotten, machine unlearning removes their influence from the model.

Machine unlearning is an emerging governance requirement driven by data deletion rights. Your AI strategy should track developments in this area and assess the feasibility of unlearning for your deployed models.