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 has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Virginia Polytechnic Institute and State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Virginia Polytechnic Institute and State University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Virginia Polytechnic Institute and State University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Virginia Polytechnic Institute and State University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Virginia Polytechnic Institute and State University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Virginia Polytechnic Institute and State University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Virginia Polytechnic Institute and State University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Virginia Polytechnic Institute and State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Virginia Polytechnic Institute and State University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
5 reviewed evidence-backed public claim
Ai Tool Treatment
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
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
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
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
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.
0 machine or needs-review claim
5 source attribution
ai.vt.edu
news.vt.edu
research.vt.edu
tlos.vt.edu
honorsystem.vt.edu