The AI Triangle encompasses three key components aimed at fostering a comprehensive understanding and utilization of artificial intelligence (AI) within educational contexts. First and foremost, students will depart with the understanding that machines derive decisions from the data provided to them, thereby emphasizing the critical role of data in AI systems. Moreover, they will recognize that this data inherently carries the biases of those who input it, prompting thoughtful consideration of strategies to mitigate and counteract such biases effectively. The first facet of the triangle pertains to college students, particularly undergraduates in computer science programs, who are going to present and gain knowledge over AI to become experts in such topics. Secondly, the focus extends to young adults, aiming to engage them in STEM education and expose them to AI as a beneficial learning tool, thereby enhancing their overall learning capabilities. Lastly, the AI Triangle incorporates parents, seeking to educate them on the fundamentals of AI and how they can engage with their children on this topic. By fostering a collaborative environment between parents and children with a shared understanding of AI, this approach facilitates meaningful dialogue and support for AI education both at home and in academic settings. Together, these interconnected components form a cohesive framework for promoting AI literacy and engagement among diverse parties within the educational ecosystem.