AI Policy Repository

What top US university AI policies say about peer review, covering disclosure, authorship, fairness, and ethical use in academic evaluation processes.

How universities define acceptable AI use, balancing academic integrity, student innovation, clear guidelines, and evolving policies in the age of generative AI.

Explore how higher education institutions are standardizing AI policies to ensure ethical use, academic integrity, and responsible innovation across campuses worldwide.

How Ivy League universities are shaping policies, ethics, and frameworks to govern generative AI, balancing innovation, academic integrity, and risk.

92% of students now use AI tools in their studies, yet fewer than 40% of universities have comprehensive AI policies. We break down which institutions set the gold standard for…

Clear AI syllabus statements reduce student confusion and protect faculty from enforcement disputes. Here's what to include, how to frame it, and common mistakes to avoid

Submitting AI-generated work isn't the only way to get in trouble. Here's how universities define AI misuse in assignments and where the gray areas actually lie.

Public universities answer to state legislatures and open records laws. Private ones move faster but vary more. Here's how AI policies actually differ between the two.

From mandatory disclosure to FERPA data bans, here are the 10 rules that appear most consistently across US university AI policies in 2025–2026.

Explore what over 100 university policies say about students using ChatGPT, its benefits, risks, and guidelines for academic integrity.