Charlotte, United States

University of North Carolina at Charlotte

University of North Carolina at Charlotte has 6 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 25, 2026.

University of North Carolina at Charlotte AI policy short answer

v1 public contract

University of North Carolina at Charlotte has 6 source-backed AI policy claims from 4 official source attributions, including 6 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 25, 2026. Discovery context: University of North Carolina at Charlotte is listed as QS 2026 rank 1001-1200.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of North Carolina at Charlotte as an agent-reviewed AI policy record last checked on May 25, 2026 and last changed on May 25, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-north-carolina-at-charlotte.json. The entity-level confidence is 97%. 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.

Claim coverage6 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-north-carolina-at-charlotte.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Procurement claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Source status claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources4

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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.

Policy presence

University of North Carolina at Charlotte has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence81%Evidence1Sources1

AI disclosure

University of North Carolina at Charlotte has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Academic integrity

University of North Carolina at Charlotte has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Research guidance

University of North Carolina at Charlotte has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence82%Evidence1Sources1

Security and procurement

University of North Carolina at Charlotte has 1 source-backed public claim for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence82%Evidence1Sources1

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

6 reviewed evidence-backed public claim

Privacy

UNC Charlotte OneIT's AI security checklist instructs users not to enter confidential or legally restricted data, including FERPA, HIPAA, PCI, or Level 3 data, into an AI tool.

Review: Agent reviewedConfidence97%

Normalized value: Confidential, legally restricted, and Level 3 data should not be entered into AI tools.

Original evidence

Evidence 1
Protect UNC Charlotte's confidential information and your own. Do not enter confidential or legally restricted data (e.g., personnel records or data protected by FERPA, HIPAA, PCI etc.) or any data that Charlotte's data classification policy identifies as level 3 into an AI tool.

Procurement

UNC Charlotte OneIT states that all non-campus-wide AI software, including free and research-related requests, must use the Software & IT-Related Request Form.

Review: Agent reviewedConfidence96%

Normalized value: Non-campus-wide AI software requires Software & IT-Related Request Form review.

Original evidence

Evidence 1
This list provides guidance on using campus-wide, specialized, and popular AI software with university data. All non-campus-wide software, including free and research-related requests, must fill out the Software & IT-Related Request Form.

Ai Tool Treatment

UNC Charlotte OneIT rates some campus AI tools as approved for use with data handling guidelines, while AI detection software and AI grading software are listed as Do Not Use.

Review: Agent reviewedConfidence95%

Normalized value: OneIT AI software list uses approved, caution, and do-not-use ratings.

Original evidence

Evidence 1
The green circle indicates approved, and the software is approved for use while following the data handling guidelines; a campus agreement is in place with approved data security and privacy policies. ... AI Detection Software Do Not Use ... AI Grading Software Do Not Use.

Source Status

UNC Charlotte's Center for Teaching and Learning says its AI syllabus guide provides flexible course-level examples and does not provide or use a university-created AI policy.

Review: Agent reviewedConfidence95%

Normalized value: CTL AI syllabus guide is course-level guidance, not institution-level AI policy.

Original evidence

Evidence 1
This guide does NOT provide or use a university-created policy on AI. ... The examples below are course level examples of AI guidelines focused on the use of AI use integrated into coursework. The examples below do not reflect current or future institution level, or department level policy on AI use.

Teaching

UNC Charlotte Student Accountability & Conflict Resolution recommends that faculty clearly communicate what AI use is permitted in courses, academic exercises, or assessments, and identifies written notice about how and when AI tools may be used as a best practice.

Review: Agent reviewedConfidence93%

Normalized value: Faculty best practice is written communication of permitted AI use.

Original evidence

Evidence 1
To support academic integrity and meaningful learning, faculty should clearly communicate what kind of AI use is permitted in their courses or in particular academic exercises or assessments. ... As a best practice, faculty members should notify students, in writing, about how and when AI tools (such as ChatGPT, Copilot, Gemini, etc.) may be used in their assignments, exams, and other course work.

Academic Integrity

UNC Charlotte Student Accountability & Conflict Resolution provides assignment and exam sample language stating that, where AI use is permitted, transparency is required and failure to disclose AI use may be considered a Code of Student Academic Integrity violation.

Review: Agent reviewedConfidence90%

Normalized value: Sample assignment language treats undisclosed AI use as a possible academic integrity violation when disclosure is required.

Original evidence

Evidence 1
You are permitted, but not required, to use AI tools (such as Copilot or Gemini) to support your learning and productivity on this assignment. However, transparency is required, and failure to disclose AI use may be considered a violation of the Code of Student Academic Integrity.

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

4 source attribution

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.

Last checkedMay 25, 2026Last changedMay 25, 2026Open change log

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.

Back to universities