Abstract: In recent years, the application of artificial intelligence (AI) in education has garnered increasing attention. This paper analyzes the distinctive characteristics of university chemistry experiments, including their comprehensiveness and systematization, exploratory and innovative nature, focus on safety and standardization, as well as their foundational and challenging aspects. It reviews the current state of AI integration in chemistry laboratory teaching, highlighting developments in intelligent teaching assistant systems, smart learning platforms, and virtual reality applications. However, AI is still rarely employed in the core aspect of chemistry laboratory — the teaching of experimental operations. The paper also explores the potential future of AI in university chemistry education, identifying key development needs, such as understanding symbolic systems, capturing action details, enhancing comprehensive support capabilities, and ensuring laboratory safety. Finally, it provides an outlook on the evolving role of AI in enhancing university chemistry laboratory teaching.

Key words: Artificial intelligence, Chemistry laboratory, Experimental operation, Application