Teaching & Learning
- For graded academic work, students are prohibited from submitting AI-generated work as their own unless they provide appropriate attribution
- The policy treats AI-generated text, images, artwork, graphics, video, and audio within academic assessments as requiring citation and attribution, and unauthorized assistance in completing an academic assessment is prohibited
Submitting work generated by artificial intelligence as one’s own work (including, without limitation, text, images, artwork, graphics, video, and audio) without appropriate attribution (e.g., quotation marks, in-text citation, and/or reference list citation).
Word-for-word copying of significant portions of another's written work in any Academic Assessment without using quotation marks or other methods to show who originally wrote the work, including such work created by generative artificial intelligence tools, information, or materials (including, without limitation, text, images, artwork, graphics, video, and audio).
Obtaining unauthorized assistance in the preparation, research, or completion of any Academic Assessment.
- Whether assistance is authorized depends on what the faculty member has specifically approved for the assessment
- UMGC does not state an AI-specific exam rule in the provided sources, but it prohibits unauthorized materials or aid in any academic assessment, and academic assessments are defined broadly to include examinations and other graded work
"Academic Assessment" – any submitted assignment, paper, assessment, evaluation, examination, discussion post, answer, lab work, or other coursework that will be used to determine credit, a grade, or academic performance.
Using any unauthorized materials such as prepared answers, textbooks, written notes, or formulas for an Academic Assessment. Authorized materials are those that the Faculty member for the course has specifically approved for use for an Academic Assessment.
Communicating answers, collaborating, or otherwise obtaining or giving aid to others for any Academic Assessment without prior approval from the Faculty member, when it is against the stated rules of the course.
- Students are directed to consult UMGC's AI policies and academic integrity resources for guidance on appropriate use
- UMGC does not define an explicit university-wide rule permitting or prohibiting AI use for personal, non-graded study assistance, but it provides a dedicated library AI guide covering how students may use AI tools for research and learning support
See our quick guide for new students to understand academic integrity, stay safe online, use helpful resources, learn UMGC's AI policies, and know where to get support.
UMGC Library maintains an Artificial Intelligence research guide (libguides.umgc.edu/artificial-intelligence) providing students with information on using AI tools for research and study purposes.
Research
- The academic integrity policy's prohibition on submitting AI-generated work without attribution would also apply to research writing submitted for academic credit
- UMGC does not publish a standalone policy on AI use in research writing or manuscript preparation, but its library maintains a dedicated AI research guide that likely provides guidance on using AI tools in research contexts
Submitting work generated by artificial intelligence as one's own work (including, without limitation, text, images, artwork, graphics, video, and audio) without appropriate attribution (e.g., quotation marks, in-text citation, and/or reference list citation).
UMGC Library maintains an AI research guide (libguides.umgc.edu/ai-research) providing guidance on using AI in research contexts.
- No formal university-level rule specifically governing AI-assisted data analysis was identified in the reviewed sources
- UMGC does not publish an explicit standalone policy on AI use in research data collection or analysis, but its library AI research guide may contain relevant guidance
UMGC Library maintains an AI research guide (libguides.umgc.edu/ai-research) and associated pages that may address AI use in research data contexts; no explicit standalone policy on AI in research data and analysis was found in the primary policy documents reviewed.
- These provisions apply to research work submitted for academic purposes, establishing a baseline research ethics framework that treats unauthorized AI use as a form of academic dishonesty
- UMGC's academic integrity policy defines academic misconduct broadly to cover all academic assessments and prohibits submission of AI-generated work without attribution, fabrication of data or sources, and plagiarism
Fabricating, falsifying, or misrepresenting research data, results, or sources in any Academic Assessment.
Submitting work generated by artificial intelligence as one's own work (including, without limitation, text, images, artwork, graphics, video, and audio) without appropriate attribution (e.g., quotation marks, in-text citation, and/or reference list citation).
Repeated failure to cite sources in any Academic Assessment according to assessment guidelines and course materials when using or paraphrasing others' work, ideas, views, opinions, creative works, and research.
Academic Integrity
- UMGC requires attribution when AI-generated content is used in academic assessments
- The policy specifically states that students may not submit AI-generated work as their own without appropriate attribution, and it identifies quotation marks, in-text citation, and/or reference list citation as examples of acceptable attribution
Submitting work generated by artificial intelligence as one’s own work (including, without limitation, text, images, artwork, graphics, video, and audio) without appropriate attribution (e.g., quotation marks, in-text citation, and/or reference list citation).
Word-for-word copying of significant portions of another's written work in any Academic Assessment without using quotation marks or other methods to show who originally wrote the work, including such work created by generative artificial intelligence tools, information, or materials (including, without limitation, text, images, artwork, graphics, video, and audio).
Repeated failure to cite sources in any Academic Assessment according to assessment guidelines and course materials when using or paraphrasing others’ work, ideas, views, opinions, creative works, and research.
- UMGC states that it may use software tools and other technologies to identify, track, and deter misconduct
- Suspected violations may be reported by students, faculty, staff, or third parties, and violations can lead to educational interventions, formal review, and disciplinary consequences under the academic integrity process
The University may use software tools and other technologies to identify, track, and deter misconduct and support authentic education.
If a Student, Faculty member, Staff member, or third party has knowledge of or suspects that a Student has engaged in Academic Misconduct, the individual may submit a Report to OAIA as provided in the Procedures.
Faculty and OAIA Case Managers may address lower-level academic misconduct with Educational Intervention as outlined in the Procedures prior to submitting a Report.
These Procedures apply to Reports of Academic Misconduct and will be used to implement Policy 150.25 Academic Integrity.
Institutional & Administrative
- UMGC does not define a university-wide rule specifically governing faculty or staff use of AI in grading, feedback, lesson planning, or administrative communications in the reviewed sources
- The acceptable use policy applies to all employees and adjunct faculty for general information systems use, and faculty are encouraged to provide educational interventions to support student academic integrity, but no explicit faculty AI use policy was identified
Faculty and OAIA Case Managers are encouraged to provide feedback, academically based coaching, rewrite opportunities, or other Educational Interventions to assist students with learning about academic integrity practices such as how to paraphrase or properly cite a source.
This Policy applies to all Users of Information Systems owned, managed, or otherwise provided by UMGC. Individuals covered by this Policy include, but are not limited to, all University students and Employees as well as third parties performing duties on behalf of the University, including but not limited to adjunct faculty, Contractors, consultants, and temporary employees who access UMGC's network services via UMGC's Information Systems and/or facilities.
- UMGC does not identify approved AI platforms in the provided sources
- However, its acceptable use policy imposes general data protection requirements for all users of university information systems, including limits on sharing proprietary university information, requirements to respect privacy and protect account credentials, and a rule that high-risk data such as PII, FERPA-covered information, and HIPAA-covered information should not be shared with unauthorized persons
Employees and other third parties performing duties on behalf of UMGC must refrain from unauthorized distribution or sharing of proprietary University Information outside of the University domain.
All Users must safeguard the Integrity of Information Systems provided by the University, including, but not limited to, Account access information such as logon credentials and other authentication factors.
All Users must respect the privacy of other Users and their Accounts, as well as the Personal Information therein, regardless of whether those Accounts are securely protected. Ability to access other Users’ Accounts or their Personal Information does not imply authorization to do so. Users may only access the Account or Personal Information of another within the scope of their employment, for a legitimate academic purpose, or other lawful basis.
High Risk Data, including, but not limited to PII, information covered by Family Educational Rights and Privacy Act (“FERPA”), and information covered by Health Insurance Portability and Accountability Act (“HIPAA”) should not be shared with unauthorized persons.
- No dedicated AI strategy or governance body was identified in the sources reviewed
- UMGC does not publish a formal overarching AI governance framework, ethics committee structure, or adoption roadmap in the reviewed policy documents
- However, the institution has developed student-facing AI policy guidance, a library AI research guide, and academic integrity policies that collectively indicate an emerging institutional approach to AI governance
See our quick guide for new students to understand academic integrity, stay safe online, use helpful resources, learn UMGC's AI policies, and know where to get support.
UMGC Library maintains a dedicated Artificial Intelligence guide (libguides.umgc.edu/artificial-intelligence) and an AI research guide (libguides.umgc.edu/ai-research), indicating institutional-level effort to provide AI guidance across academic contexts.
DocuMark: Responsible AI Use for Academic Integrity
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Common Questions About University of Maryland at College Park's AI Policies
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UMGC requires attribution when AI-generated content is used in academic assessments. The policy specifically states that students may not submit AI-generated work as their own without appropriate attribution, and it identifies quotation marks, in-text citation, and/or reference list citation as examples of acceptable attribution.
UMGC states that it may use software tools and other technologies to identify, track, and deter misconduct. Suspected violations may be reported by students, faculty, staff, or third parties, and violations can lead to educational interventions, formal review, and disciplinary consequences under the academic integrity process.
UMGC does not identify approved AI platforms in the provided sources. However, its acceptable use policy imposes general data protection requirements for all users of university information systems, including limits on sharing proprietary university information, requirements to respect privacy and protect account credentials, and a rule that high-risk data such as PII, FERPA-covered information, and HIPAA-covered information should not be shared with unauthorized persons.