11 # Tulane University AI policy record
2+privacy: Tulane guidance says Level 2 Internal, Level 3 Confidential, and Level 4 Restricted data should not be entered into publicly available generative AI tools, and the IT guide separately warns against entering Medium or High Risk Tulane information into public tools not covered by university licensing.
3+Evidence (en, b63ab199c23c): All members of Tulane University have a responsibility to protect university data from unauthorized access or disclosure. Consistent with Tulane's data governance, data management, and data classification policies, data classified as Level 2- Internal, Level 3-Confidential Data, or Level 4- Restricted should not be entered into publicly available generative AI tools.
4+source_status: Tulane maintains an official Artificial Intelligence at Tulane University page with Guidelines for the Ethical and Responsible Use of AI and links related AI initiatives, resources, workshops, and training.
5+Evidence (en, b63ab199c23c): Tulane University recognizes the potential of Artificial Intelligence (AI) to reshape the educational and research landscape. As AI continues to influence all aspects of our modern world, it is paramount that we reap its benefits while preserving the intellectual integrity and human-centered model of our university.
6+security_review: Tulane says procured generative AI tools or systems using generative AI require a security and risk review by the Information Security Office, and the IT guide says high-risk activities such as hiring, student assessments, or legal matters should not use generative AI without first consulting Tulane IT and Information Security.
7+Evidence (en, b63ab199c23c): Appropriate privacy and security considerations must be applied to all technology solutions used by Tulane University. Any procured generative AI tools or systems utilizing generative AI tools require a security and risk review by the Tulane Information Security Office.
8+teaching: Tulane teaching guidance says each instructor can set clear course or project AI guidelines and encourages students to describe how AI tools were used when AI is permitted; the Library academic-integrity guide tells students to review the syllabus or ask the professor about AI-tool tolerance, limitations, and citation.
9+Evidence (en, b63ab199c23c): Each instructor has the option of putting in place guidelines that make the most sense for their specific course or project, but instructions must be clear and precise. Should the use of AI be permitted, students should be encouraged to describe how AI tools were used.