Policy presence
University of Arkansas Fayetteville has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Fayetteville, United States
University of Arkansas Fayetteville has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 23, 2026.
v1 public contract
University of Arkansas Fayetteville has 6 source-backed AI policy claims from 3 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 23, 2026. Discovery context: University of Arkansas Fayetteville is listed as QS 2026 rank 1001-1200.
As of this public record, University AI Policy Tracker lists University of Arkansas Fayetteville as an agent-reviewed AI policy record last checked on May 23, 2026 and last changed on May 23, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 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-arkansas-fayetteville.json. The entity-level confidence is 90%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Arkansas Fayetteville has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Arkansas Fayetteville has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of Arkansas Fayetteville has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Arkansas Fayetteville has 4 source-backed public claims for exams; deterministic analysis status: restricted.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
University of Arkansas Fayetteville has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
University of Arkansas Fayetteville has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Arkansas Fayetteville has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
University of Arkansas Fayetteville has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of Arkansas Fayetteville has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
University of Arkansas Fayetteville has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
6 reviewed evidence-backed public claim
Academic Integrity
Normalized value: students need instructor permission before using generative AI for academic work
Oryginalny dowod
Evidence 1Students must receive permission in advance to use any generative AI technology in completing academic work from their instructor.
Teaching
Normalized value: faculty discretion with approved syllabus language options for AI use
Oryginalny dowod
Evidence 1UARK faculty have discretion over whether generative artificial intelligence tools (e.g., ChatGPT) can be used by students in their courses. Faculty are encouraged to communicate clear expectations regarding how these resources can be used in their courses, if at all.
Ai Tool Treatment
Normalized value: approved AI tools include Copilot Chat, Copilot for Microsoft 365, OpenAI ChatGPT Edu, Google Gemini, and Google NotebookLM
Oryginalny dowod
Evidence 1The following AI tools are approved and available now for campus use: Copilot Chat; Copilot for Microsoft 365; OpenAI ChatGPT Edu; Google Gemini; Google NotebookLM.
Academic Integrity
Normalized value: AI-generated text should be cited when it is not original work
Oryginalny dowod
Evidence 1To avoid plagiarizing, students are expected to provide citations for anything that is not their original work. This includes text generated by artificial intelligence.
Source Status
Normalized value: campus advisory identifies AI acceptable-use guidelines for employees and students
Oryginalny dowod
Evidence 1All employees and students must adhere to the guidelines for acceptable use of artificial intelligence. These guidelines were developed by AI working groups, which are composed of staff and faculty from units across campus.
Security Review
Normalized value: unapproved AI tools require a tool exception request
Oryginalny dowod
Evidence 1If an employee or student would like to use an AI tool that isn't approved, this tool exception request form will need to be completed.
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.
3 source attribution
honesty.uark.edu
libguides.uark.edu
news.uark.edu
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 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.