The rapid proliferation of algorithmic decision-making tools across American post-secondary administration has outpaced the development of formal oversight mechanisms. Universities currently utilize predictive analytics for high-stakes functions. These include enrollment management, financial aid distribution, and student retention modeling. This transition from manual processing to automated systems introduces efficiencies but simultaneously creates systemic vulnerabilities regarding data privacy and procedural fairness. Institutional leaders frequently find themselves balancing the promise of data-driven optimization against the reality of opaque technologies that lack clear accountability structures. Such a shift necessitates a structural re-evaluation of how administrative authority is exercised. Despite the ubiquity of these tools, a significant disconnect persists between technological adoption and administrative policy. Many institutions rely on ad hoc committees or outdated IT