Understanding the Basics of Data Anonymization and Gender Equality

Data anonymization involves removing personally identifiable information from datasets, ensuring individual privacy. However, while it can contribute to gender equality by preventing bias in hiring or promotions within the tech industry due to gender invisibility, it does not directly address deep-rooted systemic inequalities or unconscious biases in organizational cultures and decision-making processes.