Manhattan School of Music has defined AI policies across 3 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. 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 research ethics.
Misrepresentation of Content and Authorship: The use of original content generated by artificial intelligence and claimed by a student to be the student’s own work or creation is considered plagiarism. Students are expected to articulate and use their own thoughts and words, and to give proper acknowledgment of the words and ideas of others.
Unethical Use of Artificial Intelligence (AI): The use of AI to generate, alter, or falsify academic materials, data, or source materials in a manner that constitutes fraud, misrepresentation, or deception is considered a violation of academic integrity.
Misrepresentation of Content and Authorship: The use of original content generated by artificial intelligence and claimed by a student to be the student’s own work or creation is considered plagiarism. Students are expected to articulate and use their own thoughts and words, and to give proper acknowledgment of the words and ideas of others.
Academic misconduct is any act or attempted act of plagiarism, cheating, misrepresentation, fraud or deception related to the completion of academic work.
Unethical Use of Artificial Intelligence (AI): The use of AI to generate, alter, or falsify academic materials, data, or source materials in a manner that constitutes fraud, misrepresentation, or deception is considered a violation of academic integrity.
Responses to Academic Misconduct
When academic misconduct occurs, the School may consider sanctions to include: requiring an academic integrity tutorial or educational intervention, resubmission of assignment/ examination and/or a reduction in grade, fail grade for the assignment/examination/course, academic probation, suspension or expulsion.
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.
Manhattan School of Music has defined AI policies in 3 of 12 categories, with an overall coverage score of 25%.
Students must give proper acknowledgment when using others’ words and ideas, and AI-generated original content cannot be claimed as the student's own work. The policy establishes an attribution expectation in the context of authorship and plagiarism, but it does not provide a specific AI citation format or disclosure statement requirement.
AI-related misuse is treated as a violation of academic integrity and is subject to the school's academic misconduct process. Sanctions may range from educational remedies to failure, suspension, or expulsion depending on severity and prior history.
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