However, the transition to smart regulation is not without challenges. One of the primary concerns is data privacy and security. The collection and analysis of vast amounts of personal and sensitive data raise ethical questions and require robust safeguards to protect individuals' rights. Moreover, there is a risk of algorithmic bias, where the data used to train regulatory algorithms may inadvertently perpetuate existing inequalities.