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 has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Michigan State University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Michigan State University has 5 source-backed public claims for coursework; deterministic analysis status: required.
Michigan State University has 5 source-backed public claims for exams; deterministic analysis status: required.
Michigan State University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Michigan State University has 3 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Michigan State University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Michigan State University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Michigan State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Michigan State University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Michigan State University has 3 source-backed public claims for security and procurement; deterministic analysis status: restricted.
10 reviewed evidence-backed public claim
Source Status
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
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
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
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
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
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
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
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
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
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.
0 machine or needs-review claim
5 source attribution
tech.msu.edu
tech.msu.edu
teachingcenter.msu.edu
ai.msu.edu
ethics.msu.edu