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.
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.
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.
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.
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.
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.
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.
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.
Hampden-Sydney College has defined AI policies in 6 of 12 categories, with an overall coverage score of 50%.
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.
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.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.
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