Policy presence
Virginia Polytechnic Institute and State University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Blacksburg, United States
Virginia Polytechnic Institute and State University
Virginia Polytechnic Institute and State University is listed as QS 2026 rank =358. Virginia Polytechnic Institute and State University has 5 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Virginia Polytechnic Institute and State University is listed as QS 2026 rank =358. Virginia Polytechnic Institute and State University has 5 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Virginia Polytechnic Institute and State University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/virginia-polytechnic-institute-and-state-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 AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current 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
Virginia Polytechnic Institute and State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Virginia Polytechnic Institute and State University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Virginia Polytechnic Institute and State University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Virginia Polytechnic Institute and State University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Virginia Polytechnic Institute and State University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
Virginia Polytechnic Institute and State University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Named AI services
Virginia Polytechnic Institute and State University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Virginia Polytechnic Institute and State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Virginia Polytechnic Institute and State University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
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
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 reviewed
Normalized value: vetted_ai_tools_low_risk_public_data_for_unapproved_tools
Original evidence
Evidence 1Virginia 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 reviewed
Normalized value: no_personal_sensitive_high_risk_data_public_ai_tools
Original evidence
Evidence 1We 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 reviewed
Normalized value: syllabus_ai_policy_honor_code_guidance
Original evidence
Evidence 1The 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 reviewed
Normalized value: course_specific_genai_expectations
Original evidence
Evidence 1Faculty 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 reviewed
Normalized value: research_ai_transparency_compliance_documentation_data_protection
Original evidence
Evidence 1The 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
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
5 source attribution
AI Tools & Access at Virginia Tech
ai.vt.edu
Be judicious when sharing university data with publicly available AI tools
news.vt.edu
Considerations for the Responsible and Ethical Use of AI
research.vt.edu
Considering Generative AI at Virginia Tech
tlos.vt.edu
Syllabus Requirements and Guidelines
honorsystem.vt.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.