Atlanta Technical College has defined AI policies across 4 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 AI governance strategy.
Students are expected to recognize and uphold standards of academic integrity while attending
Atlanta Technical College. Lack of this knowledge is not an acceptable defense for any act of
cheating or dishonesty. Any student found to have committed any of the following types of
misconduct is subject to the disciplinary sanctions outlined in the Student Disciplinary Policy
and Procedure.
D. Plagiarism
i. Submitting another's published or unpublished work as a whole, in part,
or paraphrased as one's own without entirely and correctly crediting the
author with footnotes, quotation marks, citations, or bibliographical
reference.
ii. Submitting as one's original work material obtained from an individual or
agency without reference to the person or agency as the source of the
material.
iii. Submitting as one's original work material that has been produced
through unacknowledged collaboration with others without release in
writing from collaborators, including use of Artificial Intelligence
platforms (AI).
D. Plagiarism
i. Submitting another's published or unpublished work as a whole, in part,
or paraphrased as one's own without entirely and correctly crediting the
author with footnotes, quotation marks, citations, or bibliographical
reference.
ii. Submitting as one's original work material obtained from an individual or
agency without reference to the person or agency as the source of the
material.
iii. Submitting as one's original work material that has been produced
through unacknowledged collaboration with others without release in
writing from collaborators, including use of Artificial Intelligence
platforms (AI).
Students are expected to recognize and uphold standards of academic integrity while attending
Atlanta Technical College. Lack of this knowledge is not an acceptable defense for any act of
cheating or dishonesty. Any student found to have committed any of the following types of
misconduct is subject to the disciplinary sanctions outlined in the Student Disciplinary Policy
and Procedure.
Additionally, if an online student is suspected of dishonesty, the instructor may require the
student to take onsite or proctored tests, or to complete other assessments to authenticate the
student’s level of proficiency.
Atlanta Technical College is committed more than ever to preparing our students for a
rapidly changing world in the wake of the hardships and challenges of the COVID-19
pandemic and as innovations in technology, including artificial intelligence and machine
learning are on the rise.
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.
Atlanta Technical College has defined AI policies in 4 of 12 categories, with an overall coverage score of 33%.
For student academic work, Atlanta Technical College requires source attribution and correct crediting. Work from an individual, agency, or artificial intelligence platform cannot be submitted as original work without acknowledging the source; otherwise it is plagiarism.
Atlanta Technical College states that academic misconduct, including AI-related plagiarism, is subject to disciplinary sanctions under the Student Disciplinary Policy and Procedure. In online courses, when dishonesty is suspected, instructors may require onsite or proctored tests or other assessments to authenticate student proficiency.
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