Lexington, United States

University of Kentucky

University of Kentucky has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.

University of Kentucky AI policy short answer

v1 public contract

University of Kentucky has 4 source-backed AI policy claims from 3 official source attributions, including 4 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 20, 2026. Discovery context: University of Kentucky is listed as QS 2026 rank 781-790.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Kentucky as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 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-kentucky.json. The entity-level confidence is 93%. 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 coverage4 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-kentucky.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • Evidence includes Teaching claims.
  • Evidence includes AI tool treatment 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

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 confidence76%

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

University of Kentucky has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence1Sources1

Academic integrity

University of Kentucky has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%Evidence1Sources1

Approved tools

University of Kentucky has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%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

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

4 reviewed evidence-backed public claim

Privacy

UK ADVANCE research guidance says data privacy review is needed before Protected Data is entered into a generative AI tool; it also says not to put PHI into such tools unless UKHC InfoSec has confirmed HIPAA compliance and PHI support, and not to place other non-public or proprietary research data into open-source AI without UK ITS GRC approval.

Review: Agent reviewedConfidence93%

Normalized value: protected_data_privacy_review_phi_and_nonpublic_research_data_restrictions

Original evidence

Evidence 1
Data privacy review is needed before any Protected Data (AR 10.7) is entered into a generative AI tool. Unless the UKHC InfoSec Data Sharing Committee has confirmed the AI tool is HIPAA compliant and supports PHI input, do not put research data containing PHI into a generative AI tool or other software.

Localized display only

UK ADVANCE requires data privacy review before Protected Data enters a generative AI tool and restricts PHI input unless compliance/support is confirmed.

Research

UK ADVANCE research guidance says generative AI tools may enhance research when used responsibly, generated content should be verified or validated, generative AI cannot be designated as an author, and researchers remain responsible for content and accuracy.

Review: Agent reviewedConfidence91%

Normalized value: responsible_research_use_verification_no_ai_authorship_human_accountability

Original evidence

Evidence 1
When using a generative AI tool, it is best practice to verify or validate all generated content using additional factors and reliable resources. Generative AI cannot be designated authorship as it cannot be held accountable.

Localized display only

UK ADVANCE advises validating generated research content and does not allow generative AI to be treated as accountable authorship.

Teaching

UK ADVANCE provides instructional generative AI guidance that includes creating and clearly communicating course policies, responding to misuse, and designing learning experiences aligned with those policies.

Review: Agent reviewedConfidence90%

Normalized value: instructional_guidance_course_policy_recommended

Original evidence

Evidence 1
UK ADVANCE provides the following guidance and recommendations: Understanding Capabilities and Risks; Developing Course Policies: Creating and clearly communicating course policies regarding the use of generative AI; Responding to Misuse; Designing Aligned Learning Experiences.

Localized display only

UK ADVANCE recommends understanding risks, creating and communicating course AI policies, responding to misuse, and aligning learning experiences.

Ai Tool Treatment

University of Kentucky CELT guidance frames student generative AI use as a course-level instructor decision and recommends communicating allowed uses, tool restrictions, citation or acknowledgement expectations, and alternatives where privacy concerns exist.

Review: Agent reviewedConfidence88%

Normalized value: course_level_instructor_discretion_with_citation_privacy_guidance

Original evidence

Evidence 1
It is up to the instructor to decide whether student use of generative AI (GenAI) is appropriate for their courses and to what extent. Instructors might also consider an assignment-by-assignment approach to identifying when generative AI is allowed.

Localized display only

CELT frames student GenAI use as an instructor decision, including assignment-by-assignment communication of allowed uses.

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

3 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 20, 2026Last changedMay 20, 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.

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