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You work for a telecommunications company, and your task is to build a model for predicting which customers may fail to pay their next phone bill. The goal is to offer assistance to at-risk customers, such as service discounts and bill deadline extensions. Your dataset in BigQuery includes various features like Customer_id, Age, Salary, Sex, Average bill value, Number of phone calls in the last month, and Average duration of phone calls. Your objective is to address potential bias issues while maintaining model accuracy. What should you do?