Your organization manages an online message board that has seen a recent surge in toxic language and bullying. To combat this, you deployed an automated text classifier designed to flag and remove harmful comments. However, users are now reporting that some benign comments, particularly those referencing certain underrepresented religious groups, are being misclassified as abusive. A deeper analysis reveals that the classifier's false positive rate is disproportionately high for comments referencing these religious groups. Given your team's limited budget and current overextension, what should you do to address this issue?