The rapid proliferation of generative artificial intelligence (AI) across United States educational institutions has precipitated a fundamental shift in pedagogical delivery and administrative oversight. Taylor and Stan (2024) identify a stratified landscape of research funding, indicating that AI adoption is deeply influenced by institutional socioeconomic factors rather than a uniform national strategy. This technological surge forces a direct confrontation between the efficiency of automated systems and the preservation of long-standing academic rigor. Basch and Hillyer (2025) report widespread AI usage among college students for personal and coursework applications, yet many institutions lack the robust frameworks necessary to govern such tools effectively. The tension between these innovative capabilities and the necessity of ethical safeguards defines the current state of American scholarship. The core of this inquiry centers on the integration of artificial intelligence within t