We evaluate each university's AI policies across 12 standardized categories (labeled U1 through U12). These categories span 4 key domains of university AI governance. The "U" prefix stands for "University Policy Classification" and provides a consistent framework for comparing policies across institutions.
📚 Teaching & Learning
Policies governing how students interact with AI tools in their academic work.
U1Coursework & AssignmentsRules on whether students can use AI tools (like ChatGPT) for homework, essays, projects, and other coursework.
U2Examinations & AssessmentsRules on AI usage during exams, quizzes, and formal assessments.
U3Learning & Study AssistanceGuidelines on using AI as a study aid for practice, revision, or understanding concepts.
U4Code Generation & ProgrammingPolicies specific to AI-assisted coding, programming assignments, and CS coursework.
🔬 Research
Policies governing AI use in scholarly research activities.
U5Research Writing & Manuscript PreparationRules on using AI for drafting, editing, or polishing research papers and manuscripts.
U6Research Data & AnalysisGuidelines on AI-assisted data collection, processing, and statistical analysis.
U7Research Ethics & IntegrityEthical standards for AI in research, including authorship rules and IRB considerations.
🎓 Academic Integrity
Policies on transparency and enforcement around AI use.
U8Disclosure & Attribution RequirementsWhether students must declare and cite AI tool usage in their submissions.
U9Detection & EnforcementTools and processes used to detect unauthorized AI use and enforce consequences.
🏛️ Institutional & Administrative
University-level governance and operational AI policies.
U10Faculty & Staff UseGuidelines for how faculty and staff may use AI in teaching, grading, and admin work.
U11Data Protection & Approved AIApproved AI tools, data privacy rules, and restrictions on sensitive data usage with AI.
U12AI Governance & StrategyWhether the university has a dedicated AI committee, task force, or governance framework.