United States Military Academy has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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, AI governance strategy.
West Point Library hosts a GenAI resource portal at https://library.westpoint.edu/GenAI with subpages covering citation, outputs, practice, and prompting, indicating institutional guidance on AI use relevant to coursework. The Cadet Honor Code at https://www.westpoint.edu/about/commandant/simon-center-for-the-professional-military-ethic/cadet-honor-code governs academic integrity for all cadet work including assignments.
The Cadet Honor Code at https://www.westpoint.edu/about/commandant/simon-center-for-the-professional-military-ethic/cadet-honor-code establishes baseline academic integrity standards applicable to all assessments. The West Point Library GenAI portal at https://library.westpoint.edu/GenAI and its subpages may provide further guidance on AI use in assessed work.
West Point Library maintains GenAI guidance pages at https://library.westpoint.edu/GenAI/practice and https://library.westpoint.edu/GenAI/prompting covering appropriate use of AI for learning purposes. A tutorials page at https://library.westpoint.edu/tutorials/genai further supports institutionally sanctioned AI study assistance.
The UPNEAR GenAI Supplemental Guidance references 'image/code generators' as examples of generative AI tools subject to institutional policy. The library GenAI portal at https://library.westpoint.edu/GenAI/outputs may address AI-generated code outputs.
Generative AI (GAI) tools—such as ChatGPT, Copilot, and image/code generators—can accelerate research and creativity. However, their use must be transparent and consistent with academic integrity. Authors are responsible for ensuring accuracy, originality, and proper acknowledgment.
• Transparency: Clearly state if and how GAI was used in your work.
• Acknowledgment: Include an acknowledgment section detailing GAI assistance (tool name, prompt, purpose, and impact).
• Original Contribution: Ensure GAI does not replace critical thinking or substantive analysis.
• Add an Acknowledgment of GAI Assistance section in your manuscript.
• Brainstorming ideas or outlining structure.
• Generating draft text for refinement by the author.
• Language editing or proofreading.
• Submitting GAI-generated text without revision or attribution.
• Using AI to write the entire discussion section without acknowledgment.
• Verification: Validate all GAI-generated content, including citations, data, and code.
• Producing code snippets or visualizations that are verified and explained.
• Using fabricated citations or unverifiable data from GAI.
• Allowing GAI to determine research conclusions without author validation.
However, their use must be transparent and consistent with academic integrity. Authors are responsible for ensuring accuracy, originality, and proper acknowledgment.
• Verification: Validate all GAI-generated content, including citations, data, and code.
• Original Contribution: Ensure GAI does not replace critical thinking or substantive analysis.
• Allowing GAI to determine research conclusions without author validation.
• Transparency: Clearly state if and how GAI was used in your work.
• Acknowledgment: Include an acknowledgment section detailing GAI assistance (tool name, prompt, purpose, and impact).
• Add an Acknowledgment of GAI Assistance section in your manuscript.
• Submitting GAI-generated text without revision or attribution.
• Using fabricated citations or unverifiable data from GAI.
• Allowing GAI to determine research conclusions without author validation.
The Cadet Honor Code at https://www.westpoint.edu/about/commandant/simon-center-for-the-professional-military-ethic/cadet-honor-code serves as the primary enforcement mechanism for academic integrity at West Point, applicable to violations involving AI misuse.
West Point's official modernization plan includes a dedicated section on artificial intelligence and military leadership at https://www.westpoint.edu/about/modernization-plan/artificial-intelligence-military-leadership, indicating institutional-level guidance relevant to faculty and staff AI use.
• Security: Do not input sensitive or classified information into GAI tools.
West Point's modernization plan includes a dedicated artificial intelligence and military leadership section at https://www.westpoint.edu/about/modernization-plan/artificial-intelligence-military-leadership, indicating institutional-level AI governance and strategic planning.
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.
United States Military Academy has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
For UPNEAR Journal submissions, disclosure of AI use is required. Authors must clearly state whether and how AI was used and include an acknowledgment section specifying the tool name, prompt, purpose, and impact.
No AI-specific detection tool policy is defined in the available sources. However, the West Point Cadet Honor Code governs academic integrity violations including those involving AI misuse. The UPNEAR journal guidance identifies prohibited AI practices such as submitting unattributed AI-generated text and using fabricated citations, but does not specify detection tools or penalty procedures beyond the overarching honor system.
For UPNEAR Journal submissions, sensitive or classified information must not be entered into generative AI tools. The available sources do not identify any approved institutional AI platforms.
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