Policy presence
Tulane University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
New Orleans, United States
Tulane University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tulane University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Tulane University has 2 source-backed public claims for coursework; deterministic analysis status: required.
Tulane University has 1 source-backed public claim for exams; deterministic analysis status: required.
Tulane University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Tulane University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Tulane University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Tulane University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Tulane University has 3 source-backed public claims for security and procurement; deterministic analysis status: restricted.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Privacy
Normalized value: restricted_confidential_internal_and_medium_high_risk_data_not_for_unlicensed_public_genai
Original evidence
Evidence 1All 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.
Original evidence
Evidence 2Avoid entering Medium or High Risk Tulane information into publicly available generative AI tools that are not covered by a university licensing agreement. This includes non-public research data, unpublished papers, confidential information from research partners, financial and human resources information, student records, medical data, and any information subject to legal or regulatory safeguarding.
Source Status
Normalized value: central_ai_guidance_page_with_resources
Original evidence
Evidence 1Tulane 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.
Security Review
Normalized value: security_risk_review_for_procured_genai_and_consultation_for_high_risk_use
Original evidence
Evidence 1Appropriate 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.
Original evidence
Evidence 2Do not use generative AI tools for high-risk activities (e.g., hiring, student assessments, or legal matters) without first consulting with the Tulane IT and Information Security.
Teaching
Normalized value: instructor_specific_ai_guidelines_with_student_disclosure_when_permitted
Original evidence
Evidence 1Each 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.
Original evidence
Evidence 2Your professor may have included in the course syllabus a statement that addresses the use of AI tools. If not, ask them. What is their level of tolerance with AI tools? Are they permitted at all? If so, to what extent? What qualifications do they place on the limitations of these tools? How should you cite your use of generative AI content?
0 machine or needs-review claim
3 source attribution
libguides.tulane.edu
ai.tulane.edu
it.tulane.edu