Blacksburg, United States

Virginia Polytechnic Institute and State University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources5Source languageenPublic JSON/api/public/v1/universities/virginia-polytechnic-institute-and-state-university.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

AI disclosure

Virginia Polytechnic Institute and State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Academic integrity

Virginia Polytechnic Institute and State University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

Approved tools

Virginia Polytechnic Institute and State University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Research guidance

Virginia Polytechnic Institute and State University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records1

AI tools

Virginia Polytechnic Institute and State University

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Evidence-backed claims

5 reviewed evidence-backed public claim

Ai Tool Treatment

Virginia Tech provides access to vetted AI tools and states that AI tools not explicitly approved may only be used with low-risk, public data.

Review: Agent reviewedConfidence95%

Normalized value: vetted_ai_tools_low_risk_public_data_for_unapproved_tools

Original evidence

Evidence 1
Virginia Tech provides access to vetted AI tools and platforms that align with our AI principles and governance framework. All tools undergo evaluation for security, privacy, effectiveness, and alignment with university values before approval for campus use. Note: If an AI tool is not explicitly approved, it may only be used with low-risk, public data.

Localized display only

Virginia Tech describes vetted AI tools and limits unapproved AI tools to low-risk public data.

Privacy

Virginia Tech's Division of Information Technology asks community members not to share personal, sensitive, or high-risk university data in publicly available AI platforms.

Review: Agent reviewedConfidence95%

Normalized value: no_personal_sensitive_high_risk_data_public_ai_tools

Original evidence

Evidence 1
We ask that all members of our community not share any personal, sensitive or high-risk data in publicly available AI platforms (e.g. ChatGPT.com, DeepSeek.com). When such data is shared with open and publicly available AI tools, it can expose individuals and organizations to security, privacy, copyright, and intellectual property risks.

Localized display only

The IT notice asks community members not to share personal, sensitive, or high-risk data in public AI platforms.

Academic Integrity

Virginia Tech's Office of Undergraduate Academic Integrity encourages faculty to include clear generative AI policies in each class syllabus, with examples ranging from permitted to prohibited use.

Review: Agent reviewedConfidence94%

Normalized value: syllabus_ai_policy_honor_code_guidance

Original evidence

Evidence 1
The Office of Undergraduate Academic Integrity encourages all faculty to state a clear policy on student use of generative AI for each class syllabus. Below are three possible policy statements, from permitting to prohibiting the use of generative AI in class, which can be adapted as needed.

Localized display only

The Honor System page encourages class-level generative AI policies and provides examples ranging from permitted to prohibited use.

Teaching

Virginia Tech TLOS recommends that faculty establish carefully considered, course-specific generative AI policies for pedagogically sound use.

Review: Agent reviewedConfidence92%

Normalized value: course_specific_genai_expectations

Original evidence

Evidence 1
Faculty members in all disciplines need to understand how generative AI tools work, consider how they might enhance the student learning experience, recognize the potential risks associated with these tools, and establish carefully considered course policies to ensure they are used in pedagogically sound ways.

Localized display only

TLOS frames GenAI as a course-policy issue and recommends carefully considered course policies.

Research

Virginia Tech research guidance says faculty, students, and research staff should apply AI transparently and in compliance with university and sponsor requirements, with documentation and data protection.

Review: Agent reviewedConfidence91%

Normalized value: research_ai_transparency_compliance_documentation_data_protection

Original evidence

Evidence 1
The resource helps faculty, students, and research staff apply AI transparently and in compliance with university and sponsor requirements and recommendations. Reflection prompts and real-world tips support ethical decision-making, documentation, and data protection.

Localized display only

Research guidance frames AI use around transparency, compliance, documentation, ethical decision-making, and data protection.

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

AI Tools & Access at Virginia Tech

ai.vt.edu

Snapshot hash
8781e472b22589ee86712c43760978ebf53576f932fab894e35bf06f2b96476c

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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