You are an ML engineer working in the contact center of a large enterprise, tasked with building a sentiment analysis tool to predict customer sentiment from recorded phone conversations. Your goal is to develop a model that accurately determines sentiment while ensuring that demographic factors such as gender, age, and cultural differences do not skew the results or affect any stage of the model development pipeline. To achieve a fair and unbiased sentiment analysis, which approach should you take?