Case study that examines a large public Mexican university development of GenAI assessment guidelines for upper-secondary, undergraduate, and graduate education. Using document analysis and process tracing, it identifies shared governance principles, level-specific adaptations, and a policy-to-practice pathway emphasizing validity, fairness, transparency, human oversight, responsible AI use, and implementation evaluation.

This work-in-progress compares 2,405 Spanish-language MCQs drafted by customized Gemini Gems or faculty in a Mexican university. Expert committees reviewed all items. Gemini drafts showed lower validation-friction in three of four areas and stronger blueprint adherence, while faculty drafts offered richer contextualization. Findings support structured AI generation with human validation.