The rapid assimilation of Large Language Models and automated pedagogical tools into the American classroom has significantly outpaced the institutional frameworks intended to govern them. This technological momentum, accelerated by the post-pandemic shift toward decentralized digital learning, has forced a fundamental reassessment of how knowledge is produced and validated within K-12 and higher education. While the integration of Artificial Intelligence (AI) offers the promise of hyper-personalized learning environments, it simultaneously risks entrenching existing systemic inequities. The Fourth Industrial Revolution has effectively converted the educational landscape into a primary site of technical experimentation, where the speed of innovation frequently circumvents rigorous ethical oversight (OKunlola & Naicker, 2025). Consequently, the United States finds itself at a critical juncture where the benefits of efficiency and tailored instruction must be weighed against the erosion