Policy presence
Michigan Technological University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Houghton, United States
Michigan Technological University
Michigan Technological University has 5 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 22, 2026.
Michigan Technological University AI policy short answer
v1 public contract
Michigan Technological University has 5 source-backed AI policy claims from 4 official source attributions, including 5 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: Michigan Technological University is listed as QS 2026 rank 901-950.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Michigan Technological University as an agent-reviewed AI policy record last checked on May 22, 2026 and last changed on May 22, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 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-technological-university.json. The entity-level confidence is 95%. 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 AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Research claims.
- Evidence includes Teaching 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.
- 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
Michigan Technological University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Michigan Technological University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Michigan Technological University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Michigan Technological University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Michigan Technological University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
Michigan Technological University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Michigan Technological University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Michigan Technological University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Michigan Technological University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
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
5 reviewed evidence-backed public claim
Privacy
Michigan Tech Policy 1.20 tells university affiliates to avoid submitting tier 1 confidential or restricted MTU data to AI tools, with limited use only when explicit contractual protections exist and written consent is obtained from the CIO, CISO, or General Counsel.
Review: Agent reviewed
Normalized value: avoid_tier1_data_with_limited_written-consent_exception
Original evidence
Evidence 1Avoid submitting MTU data classified as tier 1 (confidential or restricted) with AI tools. Where a contract or other legal agreement provides explicit protections to MTU data, tier 1 data may be permissible to be used with an AI tool, but only with the written consent of the Chief Information Officer, Chief Information Security Officer, or General Counsel.
Ai Tool Treatment
Michigan Tech Policy 1.20 requires AI tool use to be disclosed when the use represents a significant component of the final product or deliverable, defined by the policy as more than 25%.
Review: Agent reviewed
Normalized value: disclose_ai_use_when_more_than_25_percent_of_deliverable
Original evidence
Evidence 1Disclose use of AI tools as required by the entity receiving the AI-facilitated content, but in all cases where such use represents a significant component of the final product or deliverable (for the avoidance of doubt, this means more than 25% of the final product/deliverable).
Academic Integrity
Michigan Tech's academic integrity policy treats use of generative AI technologies as an academic integrity violation when the use is prohibited by the instructor or does not comply with University Policy 1.20.
Review: Agent reviewed
Normalized value: prohibited_or_policy_noncompliant_gai_use_is_integrity_violation
Original evidence
Evidence 1Use of generative artificial intelligence technologies (GAI) in ways that are prohibited by the instructor or that do not comport with University Policy 1.20: Use of Generative Artificial Intelligence Tools will also be regarded as an academic integrity violation.
Research
Michigan Tech's research AI guidance says faculty, staff, and students must comply with funding sponsor or publisher requirements for generative AI use in funding applications or research-result reporting.
Review: Agent reviewed
Normalized value: research_ai_use_must_comply_with_sponsor_or_publisher_requirements
Original evidence
Evidence 1It is the University's policy for Michigan Tech faculty, staff, and students to comply with funding sponsor or publisher requirements for the use of generative AI tools in funding applications or reporting of research results.
Teaching
Michigan Tech Academic Affairs provides AI Working Group syllabus templates for instructors, organized into General Permission, Conditional Permission, and Prohibition tiers for course-level generative AI use policies.
Review: Agent reviewed
Normalized value: syllabus_templates_general_conditional_prohibition
Original evidence
Evidence 1The AI Working Group at Michigan Technological University has developed the following syllabus templates to guide instructors in establishing generative artificial intelligence (GAI) use policies within their courses. These templates, categorized into three tiers-General Permission, Conditional Permission, and Prohibition-are adaptable based on individual course requirements.
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
4 source attribution
1.20 - Use of Generative Artificial Intelligence Tools
mtu.edu
About Michigan Tech's Academic Integrity Policy
mtu.edu
Michigan Tech Syllabus Guidance
mtu.edu
Use of Large Language Model Generative Artificial Intelligence Tools in Research Activities
mtu.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.