Policy presence
Tulane University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
New Orleans, United States
Tulane University
Tulane University has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 17, 2026.
Tulane University AI policy short answer
v1 public contract
Tulane University has 4 source-backed AI policy claims from 3 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 17, 2026. Discovery context: Tulane University is listed as QS 2026 rank =597.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Tulane University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/tulane-university.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes Security review claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Tulane University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Tulane University has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Tulane University has 1 source-backed public claim for exams; deterministic analysis status: required.
Privacy and data entry
Tulane University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
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.
Approved tools
Tulane University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Tulane University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Tulane University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
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.
Security and procurement
Tulane University has 3 source-backed public claims for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
4 reviewed evidence-backed public claim
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.
Review: Agent reviewed
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
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.
Review: Agent reviewed
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
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.
Review: Agent reviewed
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
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.
Review: Agent reviewed
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?
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
3 source attribution
AI and Academic Research: A Guide: Academic Integrity
libguides.tulane.edu
Artificial Intelligence at Tulane University
ai.tulane.edu
IT Guide for Generative AI Platforms
it.tulane.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.