Coefficient Alignment is a technique in machine learning that evaluates how well the learned coefficients of a model align with a priori known values or expert knowledge, serving as a diagnostic tool to ensure model reliability and interpretability. This alignment helps determine whether the model parameters reflect the expected understanding of the data relationships, improving the trustworthiness of predictions in applied scenarios.