As artificial intelligence has become more embedded, educational institutions wrestle with how to institutionalize it. One must consider the balance between implementation and understanding. As with every technological breakthrough, there is an inherent tension between what is possible and the natural consequences of its use. With artificial intelligence, the rate at which one must become familiar is much shorter, and educators face incredible challenges because innovation and use cases are rapidly becoming available from multiple sources with the promise of better learning outcomes. Integrating artificial intelligence into the classroom curriculum should strive to demystify and destigmatize its usage by students and help create critical thinkers instead of passive learners. One must assume that students are using this technology, and educators must ask students to reflect on what is generated compared to what a student creates. Educators must also consider the digital divide, particularly in rural school systems. The chasm could widen by not offering artificial intelligence instruction because students who would benefit the most may never discuss or interact with it meaningfully. As artists turn to Generative AI for inspiration, it is necessary to investigate the source of the training data of any generative AI model to uncover bias. Bias is amplified in public-domain data. With this knowledge, one can catalyze change and recognize and ensure the visibility of those traditionally underrepresented and minoritized. As educators, it is paramount to be knowledgeable in this technology to empower students to use it morally and ethically.