This study explores the automation of quiz generation using Large Language Models (LLMs) like GPT-4, and their integration into Learning Management Systems (LMS) Canvas. It discusses the potential of LLMs to transform assessment creation by generating diverse question types aligned with learning objectives. The research also addresses ethical considerations, including data privacy and algorithmic bias, and highlights the importance of prompt engineering for effective AI-human interaction. The findings suggest that LLMs can significantly streamline quiz creation, saving educators time and enhancing student learning experiences while emphasizing the need for ongoing refinement and ethical oversight.