Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

AI systems are increasingly used in decisions affecting people’s lives — from medical diagnoses to financial approvals. Here, privacy and reliability both matter. Federated unlearning sits at this intersection. It aims to protect data rights, but may introduce risks not widely understood. If ignored, systems which are designed to enhance trust could become undermined. Canada is at an important juncture in shaping how AI systems are governed. Policies around data deletion, accountability and transparency are evolving rapidly. Federated unlearning will likely become part of this landscape. As it’s adopted, it must be treated with the same level of scrutiny as other security-critical mechanisms.