Loyola Marymount University has defined AI policies across 11 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.
For coursework, before using any AI tool, it is important to first learn about your instructor's policy on using AI tools in your specific course. ... If you're not sure about the professor’s policy, be sure to ask them for guidance. Always check your course syllabus or ask your professor for their specific class policy on using generative AI tools. Instructors can allow students to use AI tools if they provide certain guidelines...
Evidence can take many forms including (but not exclusive to) personal accounts related to direct observations of student behavior as well as papers, creative works, lab reports, exams, and quizzes.
Evidence includes that obtained through the recent adoption of honesty-promoting software such as Turnitin and video-based evidence produced from lockdown-browsers (e.g., Respondus) and synchronous virtual meeting spaces (e.g., Zoom) for proctoring varied forms of student assessment.
As a Catholic institution grounded in the Jesuit and Marymount education traditions, LMU is committed to fostering mission-aligned engagements with GenAI, which will, of necessity, now be one part of any college student’s holistic education. We have an obligation to develop our collective capabilities around GenAI so that we can help students develop their own skills for effective and ethically sound engagements with GenAI.
LMU's AI-Generated Tools for Academic Research The William H. Hannon Library’s guide to AI-powered research tools. Features ethical use guidelines, suggestions for which tools to use for different research tasks, and detailed information on Connected Papers and Consensus. Available to all faculty and staff, at no additional cost.
In addition, Microsoft Cop ilot wi th Data Protection cites its generated content with verifiable citations, is designed to assist organizations in researching industry insights and analyzi ng data, and has the capability to provide visual answers including graphs and charts.
Microsoft Copilot with Data Protection, a generative AI-powered platform designed and created specifically for organizations, i s now available for LMU faculty, student, and staff through our Microsoft 365 L icense.
In addition, Microsoft Cop ilot wi th Data Protection cites its generated content with verifiable citations, is designed to assist organizations in researching industry insights and analyzi ng data, and has the capability to provide visual answers including graphs and charts.
Loyola Marymount University (LMU) is committed to maintaining a scholarly environment that promotes the highest ethical standards in the conduct of research and any creative activity. The University strongly condemns misconduct in any aspect of research or creative activity and will inquire into and, if necessary, investigate and resolve promptly and fairly all instances of alleged misconduct in accordance with this policy .
This policy outlines Loyola Marymount University’s administrative process in response to an allegation of research misconduct in all areas of research and creative activity, regardless of the funding source.
To this end, this task force will be asked to generate principles, guidelines, tools, and practices that can help individuals engage ethically and skillfully with GenAI for academic and scholarly purposes:
Should I cite content I get from an AI tool? Always check your course syllabus or ask your professor for their specific class policy on using generative AI tools. Instructors can allow students to use AI tools if they provide certain guidelines, such as requiring students to cite or acknowledge that they used an AI tool. If you are authorized to use AI for a class assignment, be sure to confirm with the instructor whether any special citation or acknowledgment is required.
The AHP affirms that the burden shall fall upon the Instructor to provide evidence that it is more probable than not that the Student has committed the alleged academic honesty violation.
Evidence includes that obtained through the recent adoption of honesty-promoting software such as Turnitin and video-based evidence produced from lockdown-browsers (e.g., Respondus) and synchronous virtual meeting spaces (e.g., Zoom) for proctoring varied forms of student assessment.
A: First, refer to the Academic Honesty Policy for guidance and then gather the available evidence and send an email to the involved Student within 5 business days upon discovering the suspected violation and be sure to copy your appropriate supervisor.
A: You will then render a decision as to whether or not a violation occurred. If you decide a violation occurred and sanction the Student, you must, within 5 business days, complete and submit the Academic Honesty Violation Form to the Provost’s Office and send a copy to the Student.
A: Respond via email within 5 business days. Agree to meet as soon as possible in-person or remotely (as needed) to hear/see the evidence and provide your response to the allegations. If you do not respond to this initial email within 5 business days, your Instructor unilaterally makes a determination and will file the Academic Honesty Violation Form with the Provost.
How can I use AI as an LMU faculty or staff member? Faculty can leverage AI to create syllabi, assignments, and lesson plans, as well as use it as a teaching tool in their classes. Staff can use AI to research and analyze data, generate reports, write emails, summarize long documents, create presentations, and more.
Microsoft Copilot with Data Protection, a generative AI-powered platform designed and created specifically for organizations, i s now available for LMU faculty, student, and staff through our Microsoft 365 L icense.
Previously branded as Bing Chat Enterprise (BCE), Microsoft Copilot with Data Protection ensures that university data is protected against threats. In Microsoft Copilot with Data Protection, user and university data is protected–chat data is not saved, and chat data will not be available in any capacity to Microsoft or other large language models to train their AI tools against.
Using Copilot protects confidential LMU information, whereas using other AI tools on the web may expose our private data and your personal information to the public, however, you should never place any personal identifying information (PII) in any AI tool. (Remember that LMU policies on security, privacy, and fair use still apply when using any AI tool.)
As a reminder, Zoom does not use any of your audio, video, chat, screen-sharing, attachments, or other communications like customer content (such as poll results, whiteboard, and reactions) to train Zoom’s or third-party artificial intelligence models.
These features are off by default, and can be activated with the following steps:
Among the key components of LMU’s current Strategic Plan is the idea that, by “embracing the spirit of adaptability that has defined Ignatian education for centuries, we will innovate together across boundaries of all kinds to continually improve in research, teaching, and preparing students for the challenges ahead.”
The advent of generative artificial intelligence (GenAI), and its rapid implementation across culture, society, and the economy, urges us to embrace our Ignatian capacity for principled and reflective adaptation. Faithful to our mission that engages the signs of the times, GenAI innovation ought to be grounded in deep, intellectual inquiry.
As a Catholic institution grounded in the Jesuit and Marymount education traditions, LMU is committed to fostering mission-aligned engagements with GenAI, which will, of necessity, now be one part of any college student’s holistic education.
To this end, this task force will be asked to generate principles, guidelines, tools, and practices that can help individuals engage ethically and skillfully with GenAI for academic and scholarly purposes:
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.
Loyola Marymount University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Students must check their course syllabus or ask their professor for the specific policy on citing or acknowledging the use of AI tools. Instructors determine whether any special citation or acknowledgment is required for authorized AI use in their class.
LMU places the burden on the instructor to provide evidence that an academic honesty violation is more probable than not. The university recognizes evidence from Turnitin, lockdown browsers, and Zoom-based proctoring, and the faculty and student FAQ documents describe the allegation, meeting, decision, sanction, filing, and appeal process for suspected violations.
LMU identifies Microsoft Copilot with Data Protection as an LMU-available AI platform for faculty, students, and staff and states that it protects user and university data, does not save chat data, and does not make chat data available to Microsoft or other large language models for training. LMU also warns that other web AI tools may expose private data and states that users should never place personally identifying information in any AI tool. For Zoom AI Companion, LMU states that Zoom does not use meeting content to train Zoom’s or third-party AI models, and the feature is off by default and must be enabled by the host.
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