Example Concept: AI design tools can balance personalization and privacy by using federated learning, which processes data locally on user devices rather than sending it to a central server. This approach allows AI to learn from user interactions without compromising privacy. Additionally, incorporating clear consent mechanisms and anonymizing data can further protect user information while enabling personalized experiences.