New Orleans, United States

Tulane University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3Source languageenPublic JSON/api/public/v1/universities/tulane-university.json

Policy profile

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

Privacy and data entry

Tulane University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Tulane University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

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 reviewedConfidence95%

Normalized value: restricted_confidential_internal_and_medium_high_risk_data_not_for_unlicensed_public_genai

Original evidence

Evidence 1
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.

Original evidence

Evidence 2
Avoid 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 reviewedConfidence94%

Normalized value: central_ai_guidance_page_with_resources

Original evidence

Evidence 1
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.

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 reviewedConfidence94%

Normalized value: security_risk_review_for_procured_genai_and_consultation_for_high_risk_use

Original evidence

Evidence 1
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.

Original evidence

Evidence 2
Do 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 reviewedConfidence93%

Normalized value: instructor_specific_ai_guidelines_with_student_disclosure_when_permitted

Original evidence

Evidence 1
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.

Original evidence

Evidence 2
Your 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

Official sources

3 source attribution

Artificial Intelligence at Tulane University

ai.tulane.edu

Snapshot hash
b63ab199c23c310f750217f5ef7be6464b7b17f9a86bf5450f7acfd05184e2c5

Change log

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

Corrections

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