
In the age of advanced technology and data-driven decision making, the ability to forget information becomes increasingly crucial. The implications of information retention go beyond mere memory; they directly impact privacy, security, and ethics. This article explores the concept of machine unlearning, which involves erasing the influence of specific datasets on machine learning (ML) systems. By delving into the challenges,