Teaching & Learning
- The university treats unauthorized AI use in academic exercises as academic dishonesty
- Its catalog applies this to student academic work broadly, including papers and assignments, but does not define any circumstances in which AI is permitted; the key condition stated is whether the use is authorized
Students are expected to exhibit extreme care relative to personal honesty in all academic work, including in-and out-of-class learning experiences, such as exams, quizzes, journals, papers, and research projects.
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
- For exams and similar assessments, AI use would therefore be prohibited when it is unauthorized or not approved
- The university does not set an exam-specific AI rule, but it classifies unauthorized AI use in academic exercises as dishonesty and separately defines cheating on examinations as using unauthorized or non-approved sources
Students are expected to exhibit extreme care relative to personal honesty in all academic work, including in-and out-of-class learning experiences, such as exams, quizzes, journals, papers, and research projects.
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
4. Cheating: Cheating includes, but is not limited to, the use of unauthorized notes, study aids, or non-approved sources for an examination, submission of another person’s work to meet course requirements, submitting identical or similar papers for credit in more than one course without prior permission from the course instructor, unauthorized collaboration.
Research
- It does not provide a separate research-writing policy for theses, dissertations, or manuscript drafting beyond that general rule
- The university applies its academic integrity rule to research projects and papers, and unauthorized AI use in those academic exercises is treated as dishonesty
Students are expected to exhibit extreme care relative to personal honesty in all academic work, including in-and out-of-class learning experiences, such as exams, quizzes, journals, papers, and research projects.
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
- It does not otherwise define when AI may be used for data analysis, statistics, or synthetic data generation
- The university prohibits unauthorized AI use when it involves academic exercises and explicitly lists falsifying sources or data alongside unauthorized AI use under fabrication
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
- It does not define AI rules for grant proposals, IRB applications, or research ethics declarations
- The university states a general academic integrity rule that covers research projects and treats unauthorized AI use as fabrication
Students are expected to exhibit extreme care relative to personal honesty in all academic work, including in-and out-of-class learning experiences, such as exams, quizzes, journals, papers, and research projects.
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
Academic Integrity
- The university requires citation of sources used in academic work, but it does not provide a specific AI disclosure or AI citation procedure
- Its stated rule is that using ideas, words, or phrases from any source without citation is plagiarism, and unauthorized AI use is separately classified as fabrication
To use the ideas of others without acknowledging the authors of those ideas belies the nature and purpose of academic life.
Plagiarism includes using ideas, words, or phrases from any source without citing that source and downloading or purchasing papers or parts of papers from others or the Internet and claiming such work as one’s own.
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
- The university defines enforcement procedures and penalties for academic dishonesty, including unauthorized AI use, but does not mention any AI detection software
- Faculty report incidents to the Associate Provost, repeated cases go to the Academic Integrity Committee, and sanctions can range from warnings and reduced or failing grades to dismissal for repeated violations
3. Fabrication: Submitting altered or contrived information in any academic exercise. Examples: falsifying sources and/or data, unauthorized use of artificial intelligence (AI), etc.
Warning: The faculty member believes that this student did not intentionally engage in academic dishonesty in this class, and may have been unclear as to how their actions applied to this policy. The faculty response is educative in nature, which includes meeting with the student, and may or may not include lowering or assigning a failing grade to the assignment, or exam involved. A warning is reported by the faculty member to the Associate Provost for comprehensive record keeping; however, a warning is not noted on a student’s official academic record.
Singular Incident: The faculty member believes and has evidence that the student intentionally engaged in academic dishonesty in a particular class. Based on the severity of the offense, the faculty member may choose to lower or assign a failing grade to the assignment or exam involved.
If a student is found to engage in academic dishonesty across two or more courses during their academic career at Houghton, in addition to a failing grade on the assignment, and/or in the course, the student may be dismissed from the University for repeatedly not upholding academic integrity.
All cases beyond the first incident will be reviewed by the Academic Integrity Committee.
Institutional & Administrative
- The university documents faculty responsibilities for enforcing student academic integrity cases, but it does not define a policy for faculty or staff using AI in grading, feedback, teaching preparation, recommendation letters, or administrative work
Faculty members: Faculty members who believe that a student has not upheld this academic integrity policy, regardless of type of offense, are to:
1. Meet with the student to review concerns, evidence, and further actions, and
2. Report all incidents to the Associate Provost for comprehensive record keeping, using the Academic Integrity Incident Report Form.
- The stated strategic position is that students should be prepared for ethical and effective AI use, and one MBA course specifically addresses AI governance, ethics, privacy, transparency, and human oversight
- The university discusses AI strategically in institutional communications and has added AI-focused MBA coursework, but it does not publish a university-wide AI governance policy or formal institutional AI framework in the provided sources
There will certainly be jobs to fill, but the opportunities that will await Houghton graduates will require creativity, interdisciplinary thinking and problem solving, global and cultural competence, leadership of diverse teams of people, and ethical and effective use of AI in and across diverse fields.
MBA 582 AI Governance and Ethics
Alongside powerful data-driven solutions, AI opens a Pandora's box of ethical issues: data privacy, bias, transparency, and balancing automation with human oversight. AI governance may be the biggest ethical issue of our time, something essential for any manager to understand before implementing this new technology. Students will develop AI policies for ethics and compliance, mitigate AI-related risks, and communicate governance standards to stakeholders.
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.
Common Questions About Houghton College's AI Policies
Houghton College has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
The university requires citation of sources used in academic work, but it does not provide a specific AI disclosure or AI citation procedure. Its stated rule is that using ideas, words, or phrases from any source without citation is plagiarism, and unauthorized AI use is separately classified as fabrication.
The university defines enforcement procedures and penalties for academic dishonesty, including unauthorized AI use, but does not mention any AI detection software. Faculty report incidents to the Associate Provost, repeated cases go to the Academic Integrity Committee, and sanctions can range from warnings and reduced or failing grades to dismissal for repeated violations.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.