MSU Texas Introduces Four-Category Generative AI Framework and Academic Integrity Task Force

Midwestern State University (MSU Texas) has developed an Artificial Intelligence Strategic Plan over the past year, proposing four categories—AI-prohibited, AI-critical, AI-limited and AI-exploratory—that let courses decide generative AI use by discipline and learning goals. The university also offers a Writing and AI course and plans to survey students' confidence in their generative AI skills. Provost Marcy Brown Marsden has commissioned an Academic Integrity and Policy Task Force to submit recommendations by March 2027.

How universities define the boundaries of permitted generative AI directly shapes instructors' teaching design and assessment, and affects whether students can build transferable AI skills within compliance. MSU Texas's four-category framework delegates decisions to the course level while a task force reviews academic integrity policy, indicating the institution is handling AI-use norms together with talent development and workforce preparation. The original text provides no learning-outcome or cheating-rate data after implementation, so results still need later surveys and policy recommendations to verify. Instructors can choose among four AI-use categories by course goals, expanding teaching and assessment autonomy, but must document alignment between course objectives, assessment and AI policy. Students gain clearer expectations for generative AI use, potentially reducing avoidance of permitted AI tools out of fear of misconduct accusations.