Abstract: This article proposes a concept for the construction of an intelligent learning platform based on artificial intelligence algorithms, aiming to improve learning efficiency, understanding depth, and application effectiveness of radiation protection standard. AI driven learning platforms utilize natural language processing technology to transform standard text into more understandable language, providing various forms of resources such as charts, videos, and interactive cases. Generative artificial intelligence can support conversational learning and help learners better understand the content. The learning platform can automatically generate personalized learning paths based on learners’ background, job requirements, and learning progress, track their learning situation in real time, provide personalized feedback and evaluation, and dynamically optimize learning content and strategies. With the continuous advancement of artificial intelligence technology, learning platforms could be sustainably optimized.

Key words: radiation protection, artificial intelligence, generative artificial intelligence, machine learning, natural language processing