How superintendents and central office can support the teacher evaluation cycle: calibration, protected time, evaluator training, monitoring, and backing the hard calls (not just mandating it).
Whether an AI-assisted teacher evaluation holds up depends on the process, not the AI itself. The four properties that make any evaluation defensible, where AI helps, where it adds risk, and what to ask before it reaches a personnel file.