Policy presence
Kansas State University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Manhattan, United States
Kansas State University
Kansas State University has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 22, 2026.
Kansas State University AI policy short answer
v1 public contract
Kansas State University has 4 source-backed AI policy claims from 2 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 22, 2026. Discovery context: Kansas State University is listed as QS 2026 rank 901-950.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Kansas State University as an agent-reviewed AI policy record last checked on May 22, 2026 and last changed on May 22, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/kansas-state-university.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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: DeepSeek.
- Teaching, assessment, coursework, or syllabus-related 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
Kansas State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Kansas State University has 1 source-backed public claim for coursework; deterministic analysis status: conditionally_allowed.
Exams
Kansas State University has 2 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Kansas State University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
Kansas State University has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Kansas State University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Kansas State University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Kansas State University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
Kansas State University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
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
K-State's employee guidance says users should not enter Protected Information into any AI system that has not been approved by Kansas State University.
Review: Agent reviewed
Normalized value: no_protected_information_in_unapproved_ai_systems
Original evidence
Evidence 1Protected Information: Users should not enter any Protected Information into any AI system that has not been approved by Kansas State University.
Localized display only
Employees should not enter Protected Information into AI systems unless K-State has approved the system.
Security Review
K-State's employee guidance identifies several AI services as approved when accessed through Single Sign-On and identifies DeepSeek as prohibited from use.
Review: Agent reviewed
Normalized value: approved_sso_ai_tools_and_deepseek_prohibited
Original evidence
Evidence 1AI-powered Tools for which Use is Approved ... Adobe Firefly ... Approved when accessed through Single Sign-On ... Microsoft M365 Copilot ... Approved when accessed through Single Sign-On ... Zoom AI Companion ... Approved when accessed through Single Sign-On ... DeepSeek ... PROHIBITED FROM BEING USED
Localized display only
The guidance lists Adobe Firefly, Microsoft M365 Copilot, and Zoom AI Companion as approved through SSO, and lists DeepSeek as prohibited.
Academic Integrity
K-State's Teaching and Learning Center sample syllabus language ties unattributed AI-generated assignment content to a violation of the K-State Honor Pledge.
Review: Agent reviewed
Normalized value: unattributed_ai_generated_assignment_content_honor_pledge_violation
Original evidence
Evidence 1Using an AI tool to generate assignment content without proper attribution would be a violation of the K-State Honor Pledge.
Localized display only
Using an AI tool to generate assignment content without proper attribution would violate the K-State Honor Pledge.
Teaching
K-State's sample AI syllabus language says course AI policies may vary and includes examples where students are expected to be transparent about AI use.
Review: Agent reviewed
Normalized value: course_ai_policy_variation_and_transparency
Original evidence
Evidence 1Because the policies around the use of large language tools vary across courses, we will spend some time early in the semester co-creating a class agreement on the use of AI tools.
Localized display only
The sample language says AI policies vary across courses and gives an example of creating a class agreement on AI use.
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
2 source attribution
Guidance on the Use of Artificial Intelligence with University Owned Data and Records
k-state.edu
Sample AI Policy Language
k-state.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.