Gustavus Adolphus College AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
33%4 of 12
Not Defined
Coursework
This university has not published a formal policy specifically addressing AI use in coursework.
Not Defined
Disclosure
No specific AI disclosure or attribution requirements have been published.
Not Defined
Detection
No specific AI detection or enforcement tools have been described in university publications.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

Gustavus Adolphus College has defined AI policies across 4 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university has not established a formal policy on AI use in coursework and assignments. There are no specific AI disclosure requirements currently defined. Research-related AI policies address manuscript preparation, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
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No policy defined yet
U2Examinations & Assessments
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No policy defined yet
U3Learning & Study Assistance
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No policy defined yet
U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
Writing Policy Defined
  • The sources do not provide a broader campus-wide rule for AI use in drafting papers, theses, or manuscripts
  • For grant applications and some sponsored-program activities, the college requires compliance with sponsor rules, and faculty are directed to contact the research office before using AI in proposal development

Restrictions and guidance about AI use in grant applications are rapidly changing. Guidance from federal granting agencies can be found in this list gathered by the Council on Governmental Relations. Contact our office if you have any questions or before using AI in proposal development.

Abide by all federal regulations and guidelines and all institutional and sponsor rules for sponsored projects including proposal preparation, conduct of the work, terms and conditions of federal awards, and award administration.

U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
Ethics Addressed
  • More generally, researchers must comply with federal regulations and institutional and sponsor rules for proposal preparation and sponsored work
  • The college explicitly warns that AI guidance for grant applications is changing and directs users to federal agency guidance and the research office before using AI in proposal development

Restrictions and guidance about AI use in grant applications are rapidly changing. Guidance from federal granting agencies can be found in this list gathered by the Council on Governmental Relations. Contact our office if you have any questions or before using AI in proposal development.

Abide by all federal regulations and guidelines and all institutional and sponsor rules for sponsored projects including proposal preparation, conduct of the work, terms and conditions of federal awards, and award administration.

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Academic Integrity

U8Disclosure & Attribution Requirements
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No policy defined yet
U9Detection & Enforcement
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No policy defined yet
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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • The provided sources do not impose a binding university-wide rule on faculty use for grading, feedback, or administrative writing
  • The college shows active institutional support for faculty engagement with AI in teaching and learning, including programming and strategic goals tied to AI literacy and pedagogical use

The Kendall Center offers support and resources for faculty in all matters related to teaching and learning.

Given the likely impact of AI on teaching and learning, the Kendall Center is beginning to gather resources and host conversations on our campus related to this topic.

Host AI institutes for faculty to develop strategies for designing assignments and courses that maintain the value and relevance of a liberal arts education in the age of AI

Contribute to building a campus culture of critical AI literacy among faculty, staff, and students at Gustavus

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
AI Strategy Defined
  • Gustavus has an emerging institutional AI strategy centered on faculty development and campus AI literacy
  • The sources describe the Kendall Center's role in gathering resources and hosting campus conversations, and the Provost office's 2024-25 goals include faculty AI institutes and building a campus culture of critical AI literacy

Given the likely impact of AI on teaching and learning, the Kendall Center is beginning to gather resources and host conversations on our campus related to this topic.

Host AI institutes for faculty to develop strategies for designing assignments and courses that maintain the value and relevance of a liberal arts education in the age of AI

Contribute to building a campus culture of critical AI literacy among faculty, staff, and students at Gustavus

DocuMark: Responsible AI Use for Academic Integrity

Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.

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Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai