Alexandria Technical & Community College has defined AI policies across 9 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, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools.
Using unauthorized notes, Artificial Intelligence (AI), computational intelligence, or other aids during a test/exam or coursework.
Refer to the class syllabus regarding the use of AI or computational intelligence.
Using AI-generated content without disclosure or instructor approval.
Using unauthorized materials or assistance on tests/exams or assignments.
Using unauthorized notes, Artificial Intelligence (AI), computational intelligence, or other aids during a test/exam or coursework.
Plagiarism is presenting work that is not one's own-words, ideas, images, statistics, or data-as one's own without proper citation. This includes:
Plagiarism of any kind (representing another person's, AI's, or computational intelligence's words or ideas as one's own without proper attribution or credit).
Using AI-generated content without disclosure or instructor approval.
Fabrication: Inventing data, sources, or research results.
Falsification: Distorting, omitting, or misrepresenting data or sources.
Plagiarism of any kind (representing another person's, AI's, or computational intelligence's words or ideas as one's own without proper attribution or credit).
Using AI-generated content without disclosure or instructor approval.
Fabrication: Inventing data, sources, or research results.
Falsification: Distorting, omitting, or misrepresenting data or sources.
Plagiarism is presenting work that is not one's own-words, ideas, images, statistics, or data-as one's own without proper citation.
Plagiarism of any kind (representing another person's, AI's, or computational intelligence's words or ideas as one's own without proper attribution or credit).
Using AI-generated content without disclosure or instructor approval.
Refer to the class syllabus regarding the use of AI or computational intelligence.
Violations of academic integrity are taken seriously and may result in disciplinary actions as outlined in the ATCC Policy 3.6 Student Code of Conduct and ATCC Procedure 3.6.1 Student Conduct and Sanctions for Violation of Conduct.
Violations of this procedure may result in:
* Suspension or revocation of IT privileges.
* Disciplinary action under student or employee conduct codes.
* Legal action, including restitution for damages.
* Expulsion or termination of employment.
This procedure outlines the responsibilities and expectations for the acceptable use of Alexandria Technical and Community College’s information technology resources. It ensures compliance with Minnesota State Board Policy 5.22 and Procedure 5.22.1, and supports the security, privacy, and integrity of institutional data and systems.
Users must use IT resources in a manner that supports the College’s educational, research, and administrative missions.
This procedure outlines the responsibilities and expectations for the acceptable use of Alexandria Technical and Community College’s information technology resources. It ensures compliance with Minnesota State Board Policy 5.22 and Procedure 5.22.1, and supports the security, privacy, and integrity of institutional data and systems.
While the College strives to provide reasonable privacy, users should have no expectation of privacy when using institutional IT resources. The College reserves the right to monitor and access data for:
* Routine system maintenance and troubledshooting.
* Security audits and investigations.
* Compliance with institutional, state, and federal policies.
* Protection of institutional assets and data integrity.
All users are responsible for:
* Complying with applicable laws, policies, and licensing agreements.
* Protecting their credentials and securing devices.
* Using authorized systems and data.
* Reporting suspected security incidents immediaty.
Users must protect institutional data according to it's classification:
* Public: Minimal protection required.
* Private: Restricted to authorized users (e.g., FERPA-protected data.)
* Confidential/Secure: Highly sensitive; requires encryption and limited access.
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.
Alexandria Technical & Community College has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
ATCC requires proper attribution when AI's words or ideas are used and treats undisclosed AI-generated content as a violation unless there is instructor approval. The policy also ties AI use to instructor or syllabus-level direction.
ATCC states that academic integrity violations may lead to disciplinary action under its student conduct policy and procedure. The acceptable use procedure also provides sanctions for IT-related violations, but the university does not define any stance on AI detection tools in the provided sources.
ATCC requires users to protect institutional data according to its classification and restricts access to private and confidential/secure data. The acceptable use procedure requires use of authorized systems and data and allows monitoring of institutional IT resources, but it does not identify approved AI platforms or AI-specific data-entry rules.
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