Elizabeth City State University has defined AI policies across 2 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university has not established a formal policy on AI use in coursework and assignments. There are no specific AI disclosure requirements currently defined. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools.
* Artificial Intelligence Teaching Guide†teachingcommons.stanford.edu
You must submit a helpdesk ticket to obtain quotes for the purchase of any technology requiring pre-approval.
* AI tools (such as Asana, Grammarly, ChatGPT, and others)
* Security: How does it keep personal data safe?
Users may access, use, or share ECSU proprietary information only to the extent it is authorized and necessary to fulfill assigned ECSU job duties.
Users have a responsibility to promptly report the theft, loss, or unauthorized disclosure of ECSU proprietary information.
For security and network maintenance/operation purposes, authorized individuals within ECSU may monitor ECSU equipment, systems, and network traffic at any time, in accordance with ECSU policies and procedures.
ECSU reserves the right to audit networks and systems on a periodic basis to ensure compliance with this policy and, in instances of misuse, take appropriate disciplinary measures, including legal action.
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.
Elizabeth City State University has defined AI policies in 2 of 12 categories, with an overall coverage score of 17%.
No explicit disclosure requirement is currently defined in the available policy sources.
No explicit detection or enforcement process is currently defined in the available policy sources.
AI tools require IT approval before purchase. The university also requires technology review for security considerations, limits access to proprietary information to authorized job duties, requires reporting unauthorized disclosure, and allows monitoring and auditing of university systems. The provided sources do not identify approved AI platforms by name beyond listing AI tools as subject to IT approval.
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