Hampden-Sydney College AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
50%6 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Not Defined
Governance
No formal AI governance structure or strategy has been published.
POLICY OVERVIEW

AI Policy Summary

Hampden-Sydney College has defined AI policies across 6 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation. At the institutional level, the university has established guidelines for faculty and staff AI use.

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Teaching & Learning

U1Coursework & Assignments
AI Prohibited
  • Use of AI on coursework and assignments is prohibited by default
  • A professor may authorize AI use in a particular class or assignment, and those permissions do not carry over to other classes

1. Cheating: Giving or receiving unauthorized aid,

including from artificial intelligence (AI) or a large

language model, on any type of test, quiz, or

assignment. Unless a professor indicates otherwise,

using an AI generator or a large language model

is not permitted on tests, quizzes, or assignments.

Artificial intelligence (AI) generators and large

language models (LLMs) often rely on existing

published materials, and copying or paraphrasing

materials generated by AI without attribution is

plagiarism. Professors may permit students to use AI

generators or LLMs in a variety of ways in their own

classes. Those students, however, must not assume

that those policies transfer to other classes.

U2Examinations & Assessments
AI Prohibited in Exams
  • AI use during tests and quizzes is prohibited unless a professor explicitly allows it
  • Unauthorized AI assistance in any test or quiz is treated as cheating under the Honor Code

1. Cheating: Giving or receiving unauthorized aid,

including from artificial intelligence (AI) or a large

language model, on any type of test, quiz, or

assignment. Unless a professor indicates otherwise,

using an AI generator or a large language model

is not permitted on tests, quizzes, or assignments.

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 college states that copying or paraphrasing AI-generated material without attribution is plagiarism
  • It also states that an author's name carries an implicit claim to full authorship and that exceptions to full authorship should be identified

Artificial intelligence (AI) generators and large

language models (LLMs) often rely on existing

published materials, and copying or paraphrasing

materials generated by AI without attribution is

plagiarism.

Every writer should keep in mind that his or her

name as author on a paper, whether submitted to a

professor in a course or to an editor for publication,

is an implicit claim to full authorship of the contents;

readers have the right to expect authors to point

out any exceptions to full authorship. When in

doubt, always acknowledge the source or ask your

professor for assistance.

U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure Mandatory
  • Students must attribute AI-generated material when they use it, because uncredited copying or paraphrasing from AI is plagiarism
  • The college also states that readers should be told about exceptions to full authorship and that writers should acknowledge sources when in doubt

Artificial intelligence (AI) generators and large

language models (LLMs) often rely on existing

published materials, and copying or paraphrasing

materials generated by AI without attribution is

plagiarism.

Every writer should keep in mind that his or her

name as author on a paper, whether submitted to a

professor in a course or to an editor for publication,

is an implicit claim to full authorship of the contents;

readers have the right to expect authors to point

out any exceptions to full authorship. When in

doubt, always acknowledge the source or ask your

professor for assistance.

U9Detection & Enforcement
Penalties DefinedIntegrity Process
  • Undisclosed or unauthorized AI use can be pursued as Honor Code violations for cheating or plagiarism
  • Suspected violations should be reported promptly, cases are heard by the Student Court, and penalties can include Honor Probation, Suspension, or Expulsion
  • For apparent plagiarism in earlier submitted versions of assignments, professors have discretion about whether to refer the case to the student justice system

All Honor Code cases are heard by the Student

Court.

1. Cheating: Giving or receiving unauthorized aid,

including from artificial intelligence (AI) or a large

language model, on any type of test, quiz, or

assignment. Unless a professor indicates otherwise,

using an AI generator or a large language model

is not permitted on tests, quizzes, or assignments.

4. Plagiarism: Presenting as one’s own the writing or

research of others, including unapproved copying

or paraphrasing from AI generators or large

language models.

All suspected Honor Code violations should be

reported to the President of Student Government as

promptly as is practical.

The penalties for a breach of the Honor Code

range from Honor Probation, Suspension, and

Expulsion from the College.

Professors have discretion in deciding whether

to refer cases of apparent plagiarism to the student

justice system when students formally submit earlier

versions of an assignment before a final version

is to be collected and graded.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • Faculty are required to include a policy on AI use in assignments in every course syllabus, using the institution's required policy language
  • The student handbook also states that professors may permit student AI use in their own classes, indicating course-level instructor discretion over student-facing assignment rules

All syllabi must contain the following institutional policies. The wording for these policies should be copied and pasted from the syllabus template.

1. Grading Scale

2. Honor Code

3. Policies for use of AI on assignments

4. Accommodations

Instructors should copy and paste institutional policy language into their syllabi. They should not edit the policies.

Professors may permit students to use AI

generators or LLMs in a variety of ways in their own

classes. Those students, however, must not assume

that those policies transfer to other classes.

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
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No policy defined yet

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