University Guidelines for Responsible Use of AI Tools
Purpose and Scope
These guidelines establish expectations for the responsible use of AI technologies in academic work and university operations. They apply to all students, faculty, and staff, and are designed to uphold academic integrity, data privacy, and critical thinking as core pillars of our institution’s mission.
1. Responsible Handling of Sensitive Data
Sensitive data including Protected Health Information (PHI), Personally Identifiable Information (PII), and FERPA-protected student records must never be input into public or commercial AI tools. Users must ensure all information shared with AI platforms is non-sensitive or thoroughly anonymized. Please refer to the risk classification chart below to determine whether your data is low, medium, or high risk.
2. Author Responsibility and Review of AI Outputs
Authors are fully responsible for verifying the accuracy and originality of any AI-assisted content. All AI-generated materials must be carefully reviewed for factual errors, bias, stereotyping, inaccuracies, hallucinations, plagiarism, and copyright issues.
3. Data Risk Classification