Alma College has defined AI policies across 5 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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. At the institutional level, the university has established guidelines for data protection and approved AI tools.
Academic Dishonesty
Appropriate disciplinary action, including possible
separation from the College, is taken when students engage
in plagiarism; the exchange of information on examinations;
assisting or receiving unauthorized assistance in the
completion of an examination, the writing of an essay or
the preparation of a laboratory report; using generative
AI or machine learning in ways that violate an instructor’s
stated policy; or any other attempt to obtain deceptively an
unearned grade.
Academic Dishonesty
Appropriate disciplinary action, including possible
separation from the College, is taken when students engage
in plagiarism; the exchange of information on examinations;
assisting or receiving unauthorized assistance in the
completion of an examination, the writing of an essay or
the preparation of a laboratory report; using generative
AI or machine learning in ways that violate an instructor’s
stated policy; or any other attempt to obtain deceptively an
unearned grade.
Academic Dishonesty
Appropriate disciplinary action, including possible
separation from the College, is taken when students engage
in plagiarism; the exchange of information on examinations;
assisting or receiving unauthorized assistance in the
completion of an examination, the writing of an essay or
the preparation of a laboratory report; using generative
AI or machine learning in ways that violate an instructor’s
stated policy; or any other attempt to obtain deceptively an
unearned grade.
Academic Dishonesty
Appropriate disciplinary action, including possible
separation from the College, is taken when students engage
in plagiarism; the exchange of information on examinations;
assisting or receiving unauthorized assistance in the
completion of an examination, the writing of an essay or
the preparation of a laboratory report; using generative
AI or machine learning in ways that violate an instructor’s
stated policy; or any other attempt to obtain deceptively an
unearned grade.
Disciplinary Procedures - Disciplinary action following
dishonesty is handled by the faculty member. It may result
in failure of the assignment or the course. A student may not
drop a class in which he or she has been failed for academic
dishonesty cheating. All infractions and actions will be also
reported to and documented by the Provost’s Office. Repeated
evidence of academic dishonesty may involve more severe
penalties beyond those imposed by the instructor. These
include restrictions on athletic eligibility and college-
sponsored travel-including travel spring terms and
performance ensembles-suspension, or expulsion from the
College.
Qualtrics is Alma College’s official survey tool. It was purchased with the agreement that
it will replace all other web survey licenses (e.g., SurveyMonkey, Survey Gizmo, etc.)
unless a specific exception is granted by the supervising cabinet member. Therefore, all
College-related surveys should be created and stored in Qualtrics.
This policy defines campus information security awareness training requirements for Alma College
network account holders. Security awareness training is necessary to ensure every member of the
campus community understands their role in protecting the confidentiality, integrity, and availability of
Alma College information systems, services, and data.
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.
Alma College has defined AI policies in 5 of 12 categories, with an overall coverage score of 42%.
Alma College does not state a disclosure or citation format for AI use in the provided sources. The only explicit rule is that using generative AI or machine learning contrary to an instructor’s stated policy is academic dishonesty, so any disclosure expectations are left to instructor policy rather than a uniform institutional standard.
Alma College states that violating an instructor’s AI policy can trigger academic dishonesty discipline. Enforcement is handled by the faculty member, may lead to failure of the assignment or course, is reported to the Provost’s Office, and repeated dishonesty can bring added sanctions up to suspension or expulsion. The provided sources do not mention AI detection tools.
The provided sources do not set AI-specific data-entry rules, approved AI platforms, or prohibited AI tools. However, Alma College does establish general institutional data and platform rules: Qualtrics is the official survey tool for College-related surveys unless an exception is granted, and the information security policy requires training to protect the confidentiality, integrity, and availability of College information systems, services, and data.
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