Cаse: An AI Eаrly-Wаrning System Fоr Graduatiоn Risk A schоol district is considering an AI system that uses attendance, grades, and disciplinary records to identify students who may not graduate on time. Counselors would receive an alert and could offer tutoring, transportation help, or family support. Students and families would not automatically see the risk score. In a pilot, the system identified some students who benefited from early help. It also falsely flagged others. Teachers who saw the alerts sometimes lowered their expectations, and a student could appeal a score only after meeting with a counselor. The district can adopt the system with safeguards, continue a limited pilot, or reject it. Write 175–250 words. Choose two first-half frameworks. Explain what each framework makes morally significant, apply each framework accurately to the case, identify their most important difference or disagreement, and recommend what the district should do. Include one condition, safeguard, limit, or threshold.