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
Change log
Michigan Technological University
Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.
Change summary
Current public record freshness and review state.
Michigan Technological University currently has 5 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 22, 2026.
This tracker 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.
Claim/evidence diff preview
Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.
Michigan Technological University current policy evidence
Inserted lines represent current public claim and evidence records in the source-backed dataset.
+10-0
11 # Michigan Technological University AI policy record
2+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.
3+Evidence (en, 0a3fd49192eb): Avoid 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.
4+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%.
5+Evidence (en, 0a3fd49192eb): Disclose 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).
6+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.
7+Evidence (en, 600ad0bcf9a7): Use 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.
8+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.
9+Evidence (en, 37d2c2e64948): It 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.
10+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.
11+Evidence (en, 78ede18df451): The 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.
Claim changes
5 claim records
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
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
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
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
Source snapshots
4 source attributions
1.20 - Use of Generative Artificial Intelligence Tools
official_policy_page checked May 22, 2026
About Michigan Tech's Academic Integrity Policy
official_guidance checked May 22, 2026
Michigan Tech Syllabus Guidance
official_guidance checked May 22, 2026
Use of Large Language Model Generative Artificial Intelligence Tools in Research Activities
official_guidance checked May 22, 2026