The text discusses a new approach to visual recognition of race, age, and gender, designed to minimize racial bias in AI models. By separating these categories into individual models and then integrating them into a comprehensive Demographics Workflow, the system offers enhanced flexibility and easier data interpretation. The previous models were often biased towards Caucasian faces due to skewed training data, which affected their accuracy across various demographic groups. The new model is built on a diverse dataset representing seven racial groups, ensuring balanced representation and consistent accuracy across races and genders. This Demographics Workflow introduces changes in API calls and response formats, providing more reliable demographic insights.