The 311 nonemergency system serves as a bridge between government and the public and makes it possible to identify and deliver public services collaboratively. Learning in the 311 programs occurs across multiple stakeholders through dynamic citizen-driven, data-driven, and technology-driven activities. This chapter examines the integration of AI tools—such as chatbots, virtual assistants, machine learning, robotic process automation, natural language processing, and advanced analytics—within local governments’ 311 programs. The analyses suggest that AI-powered 311 programs contribute to learning at all levels by streamlining users’ access to government information, improving knowledge sharing between residents and government, fostering staff efficiency and skill development, and driving government data-driven decision-making. Additionally, AI integration has the potential to advance a more responsive, connected, and collaborative community. However, challenges related to bias, privacy concerns, transparency issues, and implementation cost require further attention to ensure AI technologies are effective, equitable, and beneficial for residents, government agencies, and the broader community.