To enhance the public's understanding of artificial intelligence, this paper studies and proposes a multilevel, multi-dimensional, and multi-format innovative paradigm for artificial intelligence science popularization education, aiming to leverage the professional knowledge, teaching experience, and research capabilities of university educators to construct a systematic science popularization education paradigm. The paradigm customizes science popularization content for multi-level audiences such as teenagers, university students, and the general public, integrates multi-dimensional educational methods including online and offline, in-class and extracurricular, theoretical and practical approaches, and establishes a multi-format system of science popularization activities including tours, hosting significant events, and technology-driven poverty alleviation. This paradigm not only emphasizes the integration of theory and practice, but also highlights interdisciplinary collaboration and diverse teaching methods to meet the needs of different audiences. Through a series of case studies and practical activities, this approach effectively disseminates AI knowledge across various social strata, helping to foster a healthy, rational, and harmonious social atmosphere.