A feature platform plays a crucial role in enabling responsible AI by mitigating potential biases in data, designing transparent and explainable AI systems, evaluating and monitoring model fitness and impact, managing data collection and use responsibly, and deploying secure AI systems. By centrally managing features, feature platforms help enforce best practices, surface machine learning models prone to bias, and ensure data is kept in sync between model training and serving, minimizing bias and errors. Additionally, feature platforms provide visibility into the inputs of AI systems, abstract away complexity, and support standard processes for testing, evaluation, and training, helping organizations improve speed to market and unlock real-time use cases with millions of dollars in impact.