Policy presence
Michigan State University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
East Lansing, United States
Michigan State University
Michigan State University is listed as QS 2026 rank 161. Michigan State University has 10 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Michigan State University is listed as QS 2026 rank 161. Michigan State University has 10 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Michigan State University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 10 source-backed claims, including 10 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/michigan-state-university.json. The entity-level confidence is 96%. 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 Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Evidence includes Teaching claims.
- Evidence includes Procurement claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Research claims.
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
Michigan State University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Michigan State University has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Michigan State University has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Michigan State University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Michigan State University has 3 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Michigan State University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Michigan State University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Michigan State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Michigan State University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Michigan State University has 3 source-backed public claims 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
10 reviewed evidence-backed public claim
Source Status
Michigan State University's 2025 Guidelines for the Use of Generative Artificial Intelligence serve as MSU's official framework for ethical, responsible, and equitable generative AI use and supersede previously issued AI guidance.
Review: Agent reviewed
Normalized value: official_2025_ai_guidelines_supersede_prior_guidance
Original evidence
Evidence 1These guidelines supersede all previously issued guidance related to the use of generative AI tools at MSU. They supplement existing university policies, standards, and procedures, and serve as the university’s official framework for the ethical, responsible, and equitable use of generative AI.
Academic Integrity
MSU guidelines say students may use generative AI tools for coursework or research activities only when the instructor or research advisor explicitly permits that use.
Review: Agent reviewed
Normalized value: student_ai_use_requires_explicit_permission
Original evidence
Evidence 1Students may only use generative AI tools to support their coursework or research activities when explicitly permitted by the instructor/research advisor.
Privacy
MSU guidelines say third-party generative AI tools, especially those operated outside the United States, may be used only with non-sensitive public information unless MSU IT Information Security gives prior approval.
Review: Agent reviewed
Normalized value: third_party_ai_only_public_nonsensitive_without_approval
Original evidence
Evidence 1Third-party generative AI tools, particularly those operated outside the United States, pose significant risks to data security and intellectual property. These tools may only be used with non-sensitive, public information unless prior approval is obtained from MSU IT Information Security.
Security Review
MSU IT standards say only AI platforms formally evaluated and recommended by MSU IT Governance, Risk, and Compliance may be used with institutional data, and no AI tool should be assumed safe for confidential or regulated data unless explicitly approved.
Review: Agent reviewed
Normalized value: institutional_data_requires_it_grc_evaluated_ai_platforms
Original evidence
Evidence 1Only AI platforms that have been formally evaluated and recommended by MSU IT Governance, Risk, and Compliance (GRC) may be used with institutional data. No AI tools should be assumed safe for confidential or regulated data unless explicitly approved.
Teaching
MSU expects instructors to include course-specific generative AI guidance in every syllabus, including whether AI use is permitted, the contexts in which it may be used, and expected acknowledgment or citation practices.
Review: Agent reviewed
Normalized value: course_specific_syllabus_guidance_expected
Original evidence
Evidence 1The university expects instructors to include generative AI course guidance with a clear statement in every syllabus. This statement should specify whether generative AI use is permitted, the contexts in which it may be used (e.g., assignments, exams, collaborative projects), and how students are expected to appropriately acknowledge and cite their use of generative AI applications.
Procurement
MSU IT says requests to purchase non-enterprise generative AI tools at MSU require completion and approval of an IT Readiness form.
Review: Agent reviewed
Normalized value: non_enterprise_ai_purchase_requires_it_readiness
Original evidence
Evidence 1Any request to purchase a non-enterprise generative AI tool at MSU requires the completion and approval of an IT Readiness form. This process ensures that all tools used on campus meet MSU’s security and data-handling standards.
Academic Integrity
MSU guidelines generally discourage generative AI detection tools and say detection outputs should be treated as potential indicators rather than conclusive evidence or the sole basis for academic or grading decisions.
Review: Agent reviewed
Normalized value: ai_detection_not_sole_basis
Original evidence
Evidence 1The use of generative AI detection tools is generally discouraged. However, if an instructor chooses to use such tools, they must clearly inform students about their intended use, including the rationale, how results will be interpreted, and what actions may follow. Detection tool outputs should be considered potential indicators—not conclusive evidence—of generative AI misuse and should never serve as the sole basis for academic or grading decisions.
Ai Tool Treatment
MSU IT says MSU's enterprise-licensed AI tools offer enhanced security and enterprise-level data protection aligned with institutional data policies that are not available in free or personal editions.
Review: Agent reviewed
Normalized value: enterprise_licensed_ai_tools_data_protection
Original evidence
Evidence 1MSU’s enterprise-licensed AI tools offer enhanced security and robust enterprise-level data protection in alignment with institutional data policies that are not available in free or personal editions.
Localized display only
MSU IT says enterprise-licensed AI tools offer enhanced security and enterprise-level data protection not available in free or personal editions.
Research
MSU guidelines say integration of generative AI into research outputs, manuscripts, artistic endeavors, and grant applications must be disclosed according to relevant guidance or policies, and that intentional and substantial AI uses should be disclosed when no stated guidance exists.
Review: Agent reviewed
Normalized value: research_ai_disclosure_expected
Original evidence
Evidence 1Integration of generative AI into research must be disclosed in research outputs, manuscripts, artistic endeavors, and grant applications in accordance with the guidance/policies and expectations of publishers, funders, and collaborators. This may include idea generation, data analysis, and drafting. In the absence of stated guidance/policy, researchers are expected to disclose any intentional and substantial uses of AI.
Academic Integrity
MSU Ethics Institute student guidance tells students to follow instructor or syllabus policies before using AI on assignments, disclose AI use according to class expectations, and check with instructors when in doubt.
Review: Agent reviewed
Normalized value: student_ai_use_follow_syllabus_disclose_and_ask
Original evidence
Evidence 1Please follow the policies provided by your instructors or course syllabuses before using AI on assignments or in your classes. ... Communicate clearly and specifically to instructors and classmates if/when you use AI for assignments, brainstorming, etc. per the instructors’ guidance and class expectations. ... When in doubt, ask! Check with your instructors to ensure that your use of generative AI aligns with what is acceptable for your class or project.
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
5 source attribution
AI Security | Michigan State University - Technology at MSU
tech.msu.edu
AI Tools | Michigan State University - Technology at MSU
tech.msu.edu
Guidance on Generative Artificial Intelligence in Instructional Settings
teachingcenter.msu.edu
Guidelines | AI | Michigan State University
ai.msu.edu
Student | Ethics | Michigan State University
ethics.msu.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.