Agnes Scott College has defined AI policies across 8 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, 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. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Unauthorized Collaboration: The end result of all idea swapping, sharing, brainstorming and conferring has obliterated on student’s voice and replaced it with that of another. Getting assistance from someone (a classmate, friend, artificial intelligence, etc.) without specific permission from the instructor on any assignment (e.g., exam, paper, homework) that is turned in for a grade. It is also a violation of academic honesty to knowingly provide such assistance to another student. Collaborative work specifically authorized by a faculty member is allowed.
We recognize, however, that with increasing ubiquity of generative AI in academia and professional workplaces, some ASC assignments may allow or require students to use it.
Unauthorized Collaboration: The end result of all idea swapping, sharing, brainstorming and conferring has obliterated on student’s voice and replaced it with that of another. Getting assistance from someone (a classmate, friend, artificial intelligence, etc.) without specific permission from the instructor on any assignment (e.g., exam, paper, homework) that is turned in for a grade. It is also a violation of academic honesty to knowingly provide such assistance to another student. Collaborative work specifically authorized by a faculty member is allowed.
Cheating: Attempting to use or aiding others in using unauthorized materials, information, or study materials. This behavior also means unauthorized collaboration or gaining unauthorized access to unauthorized examination, or sharing information with another student during an examination (unless specifically approved by the faculty member).
Beginning in Fall 2026, that commitment expands even further: through SUM 110: Academic Foundations Lab and SUM 120: Career Exploration Launch Lab, Agnes Scott students will be introduced to, and begin building foundational literacy in, the responsible use of generative artificial intelligence.
Universal AI is embedded within Agnes Scott’s Summit curriculum through structured learning modules that introduce:
* Foundations: vocabulary and conceptual grounding
* Ethics: core tensions and ethical decision-making in academic settings
* Professional contexts: responsible use in career exploration and preparation, and impact on professions
Tutees, however, must disclose their use of AI prior to their appointment and share their professor’s AI policy.
Plagiarism: Portraying another’s work or ideas as your own, or not citing or improperly citing references within the text or references of a paper. Plagiarism includes any paraphrasing or summarizing of works of another person without acknowledgement, including the submitting of another student’s work as one’s own. Plagiarism frequently involves a failure to acknowledge in the text, notes or footnotes the quotation of the paragraphs, sentence or even a few phrases written or spoken by someone else. Any work, in whole or part, taken from the internet without properly referencing the corresponding URL (along with the author’s name and title of the work, if available) may be considered plagiarism.
Faculty have the responsibility to refer cases of alleged academic dishonesty, including plagiarism and cheating, to the Honor Court.
Unauthorized Collaboration: The end result of all idea swapping, sharing, brainstorming and conferring has obliterated on student’s voice and replaced it with that of another. Getting assistance from someone (a classmate, friend, artificial intelligence, etc.) without specific permission from the instructor on any assignment (e.g., exam, paper, homework) that is turned in for a grade. It is also a violation of academic honesty to knowingly provide such assistance to another student. Collaborative work specifically authorized by a faculty member is allowed.
The following resolution pathways are available to all members of the academic community who wish to pursue an action against a student for academic dishonesty.
1. The faculty member should notify the student in writing before filing a charge of academic dishonesty.
When tutoring assignments for which generative AI use is permissible, CWS tutors may choose to use the technology so long as their use is consistent with the college’s AI Use Policy for Employees, which emphasizes transparency, accountability, equity and inclusion, data privacy, integrity, and environmental responsibility.
That said, we discourage tutors from using AI during appointments for the same reasons we discourage students from using the technology to generate writing or ideas for their writing and speaking assignments: doing so may shortcut learning and thus diminish students’ agency.
When tutoring assignments for which generative AI use is permissible, CWS tutors may choose to use the technology so long as their use is consistent with the college’s AI Use Policy for Employees, which emphasizes transparency, accountability, equity and inclusion, data privacy, integrity, and environmental responsibility.
Beginning in Fall 2026, that commitment expands even further: through SUM 110: Academic Foundations Lab and SUM 120: Career Exploration Launch Lab, Agnes Scott students will be introduced to, and begin building foundational literacy in, the responsible use of generative artificial intelligence.
We extend those values to Universal AI instruction, providing our entire community with a shared baseline, and ensuring they are positioned to leverage the alignment between the critical thinking a liberal arts degree enables and the ethical adaptation an AI-powered world demands.
Agnes Scott’s approach to AI is deliberate and mission-aligned.
Universal AI affirms enduring liberal arts commitments: careful reasoning, thoughtful inquiry, moral imagination and civic responsibility.
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.
Agnes Scott College has defined AI policies in 8 of 12 categories, with an overall coverage score of 67%.
The provided sources require disclosure of AI use in the Center for Writing and Speaking context: students must disclose AI use before an appointment and share the professor's AI policy. More broadly, the student handbook requires proper referencing for internet-sourced work and treats unattributed use of others' work as plagiarism, but it does not set a university-wide AI citation rule in the provided text.
Undisclosed or unauthorized AI use in graded work is enforced through the academic dishonesty process. Faculty are responsible for referring alleged plagiarism, cheating, and other academic dishonesty cases, and the handbook lays out notice, self-reporting, and resolution pathways. The provided sources do not define any official use of AI-detection tools.
The only explicit statement in the provided sources is that the employee AI policy emphasizes data privacy, along with transparency, accountability, equity and inclusion, integrity, and environmental responsibility. The verified source text provided here does not define approved platforms, data-classification tiers, or prohibited AI systems.
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