Michigan universities embrace AI, but struggle to regulate student use

Universities need policies on academic integrity that define permissible AI use per assignment type, data privacy standards for AI vendor contracts, faculty guidelines for AI in grading and research, and student AI literacy requirements. Clear policies reduce inconsistency across departments and protect institutions from liability.

Most universities have moved from blanket AI bans toward context-specific policies that vary by course and assignment. Common frameworks require students to document AI use, prohibit AI on exams and final drafts without disclosure, and encourage faculty to redesign assessments toward process documentation and in-person evaluation.

Disclosure requirements vary by institution and course. Many universities now require students to include an AI use statement in submitted work similar to a bibliography entry. Failure to disclose when required is treated as academic dishonesty equivalent to plagiarism. Students should check each course syllabus for specific requirements.

European universities operate within the EU AI Act framework, which requires transparency when AI is used in student assessment and prohibits certain high-risk AI applications without oversight. US universities rely on voluntary federal guidance and institutional policies that vary widely. EU policies tend to be more prescriptive and enforceable.