Teaching & Learning
- UNM states that students must follow their instructor’s syllabus guidance and UNM academic integrity policies when using AI to complete academic work
- UNM’s student academic integrity guidance treats submitting AI-generated work as misconduct when it is done without permission or without acknowledgment where originality is required
Students should ensure that they comply with the UNM Student Code of Conduct (Pathfinder), Faculty Handbook policy on Dishonesty in Academic matters, and any guidance provided by their instructor in their course syllabus that clarifies expectations related to the use of technology in completing academic work.
Submitting a paper or project that was written by another person (including AI) without permission or acknowledgment.
Using generative AI in assignments where it is not allowed.
Submitting AI-generated content without acknowledgment when originality is required
- UNM’s academic integrity guidance prohibits using unauthorized materials or devices during exams, and separately flags improper AI use when it is not allowed
- The AI guidance also instructs students to follow course syllabus expectations about technology use in completing academic work, which would include assessments where instructors define restrictions
Using unauthorized materials or devices during an exam. (e.g., notes, calculators, phones)
Using generative AI in assignments where it is not allowed.
Students should ensure that they comply with the UNM Student Code of Conduct (Pathfinder), Faculty Handbook policy on Dishonesty in Academic matters, and any guidance provided by their instructor in their course syllabus that clarifies expectations related to the use of technology in completing academic work.
- UNM does not define a university-wide rule specifically permitting or prohibiting AI for non-graded study help
- UNM provides general guidance that AI outputs may be inaccurate and therefore should be reviewed and verified by a human
AI tools can generate inaccurate, incomplete, or biased responses, so any AI-generated output should be closely reviewed and verified by a human.
- UNM does not define AI code-generation rules specific to programming coursework at the university-wide level
- UNM’s AI guidance states students must follow instructor syllabus expectations for technology use in completing academic work, and UNM academic integrity guidance addresses improper AI use when it is not allowed
Students should ensure that they comply with the UNM Student Code of Conduct (Pathfinder), Faculty Handbook policy on Dishonesty in Academic matters, and any guidance provided by their instructor in their course syllabus that clarifies expectations related to the use of technology in completing academic work.
Using generative AI in assignments where it is not allowed.
Research
- UNM provides guidance on citing generative AI use and indicates citation expectations may vary by assignment/research context
- UNM does not define a university-wide policy specific to using AI for drafting or editing research manuscripts in the provided sources
There is no definitve way to cite the use of Generative AI.
The context of each assignment/research will decide what the citation should appear as.
- UNM also discourages using non-UNM-evaluated commercial AI tools for UNM data and advises refraining from inputting secured data categories (including IRB-related and other protected data categories) into such tools
- UNM’s AI guidance restricts use of AI tools with identifiable UNM data to public (“P Class”) data unless approval is obtained from the appropriate Data Steward or office, and requires additional permissions for FERPA and HIPAA data
AI tools should only be used with identifiable UNM Data classified as “P Class” (Public) Data unless approved for use by the appropriate UNM Data Steward, or other appropriate office.
Before using identifiable FERPA data in AI platforms, users should request permission from the UNM Registrar.
Before using data subject to HIPAA regulations in AI platforms, please reach out to the HIPAA Privacy Office.
Use of commercial AI products that have not been evaluated by UNM to ensure that they protect information security and privacy is strongly discouraged. Individuals should exercise caution and refrain from inputting any data that is protected under CUI, FERPA, GLBA, IRB, PII, or other secured data categories.
- UNM does not define an AI-specific research ethics rule for grant proposals, IRB applications, or research integrity statements in the provided sources
- However, UNM’s AI data notice cautions users to refrain from inputting data protected under IRB and other secured data categories into commercial AI tools that have not been evaluated by UNM
Use of commercial AI products that have not been evaluated by UNM to ensure that they protect information security and privacy is strongly discouraged. Individuals should exercise caution and refrain from inputting any data that is protected under CUI, FERPA, GLBA, IRB, PII, or other secured data categories.
Academic Integrity
- UNM provides guidance explaining that citation expectations for generative AI may vary by context, and notes that some faculty want prompts/iterative process while others want acknowledgment of tool use
- UNM’s student academic integrity guidance states that submitting AI-generated content without acknowledgment is improper when originality is required, and that submitting work written by another person (including AI) without permission or acknowledgment is plagiarism
Submitting a paper or project that was written by another person (including AI) without permission or acknowledgment.
Submitting AI-generated content without acknowledgment when originality is required
There is no definitve way to cite the use of Generative AI. Some faculty want to see the prompt and the iterative process, and some want students to acknowledge the use of these geneartive AI tools.
The context of each assignment/research will decide what the citation should appear as.
- UNM directs instructors to refer to the Faculty Handbook and Pathfinder for the appropriate course of action when academic dishonesty is suspected
- UNM states that Turnitin Similarity includes an AI writing detection tool and cautions that it may be inaccurate; UNM states it should not be used as the sole basis for adverse actions against a student
On April 4, 2023, Turnitin added a new AI writing detection tool.
Turnitin's AI disclaimer: The AI writing assessment may not always be accurate (it may misidentify both human and AI-generated text) so it should not be used as the sole basis for adverse actions against a student.
If you suspect academic dishonesty, please refer to UNM Policy in the Faculty Handbook and Pathfinder for the appropriate course of action.
Institutional & Administrative
- UNM’s general AI guidance indicates AI outputs must be reviewed and verified by a human
- For meeting contexts, UNM provides best-practice guidance that hosts should inform attendees if they intend to use Zoom AI Companion and should review and edit AI-generated meeting summaries and recordings for accuracy before sharing
AI tools can generate inaccurate, incomplete, or biased responses, so any AI-generated output should be closely reviewed and verified by a human.
As a general best practice, hosts should inform attendees at the beginning of the meeting if they intend to use AI Companion, just as they do when meetings are recorded.
It’s a good idea to review and edit meeting summaries and recordings for accuracy before sharing them with others.
- UNM lists enterprise supported tools (Copilot, M365 Copilot, Zoom AI, Apple Intelligence on capable UNM-supported devices) and notes supported tools are expected to grow over time
- UNM states AI tools should only be used with identifiable UNM “P Class” (Public) data unless approved by the appropriate Data Steward/office, with additional approval/coordination requirements for FERPA and HIPAA data
- UNM strongly discourages using commercial AI products that have not been evaluated by UNM and advises users to refrain from inputting secured data categories (including CUI, FERPA, GLBA, IRB, PII, HIPAA, PCI DSS, FISMA, and other sensitive/confidential data)
AI tools should only be used with identifiable UNM Data classified as “P Class” (Public) Data unless approved for use by the appropriate UNM Data Steward, or other appropriate office.
Before using identifiable FERPA data in AI platforms, users should request permission from the UNM Registrar.
Before using data subject to HIPAA regulations in AI platforms, please reach out to the HIPAA Privacy Office.
Use of commercial AI products that have not been evaluated by UNM to ensure that they protect information security and privacy is strongly discouraged. Individuals should exercise caution and refrain from inputting any data that is protected under CUI, FERPA, GLBA, IRB, PII, or other secured data categories.
Secured data categories also encompass information protected by the Health Insurance Portability and Accountability Act (HIPAA), Payment Card Industry Data Security Standard (PCI DSS), Federal Information Security Management Act (FISMA), and any other data that is considered sensitive or confidential.
UNM Enterprise Supported Tools include:
Copilot
M365 Copilot
Zoom AI
Apple Intelligence on capable UNM-supported devices
UNM’s AI strategy continues to evolve, and supported tools described in this documentation are expected to grow over time.
- UNM states that its AI strategy is evolving and that the list of supported tools is expected to grow over time
- The provided sources do not define an AI governance structure (e.g., a committee/task force) or a broader institutional AI roadmap beyond this statement
UNM’s AI strategy continues to evolve, and supported tools described in this documentation are expected to grow over time.
DocuMark: Responsible AI Use for Academic Integrity
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.
Common Questions About University of New Mexico's AI Policies
University of New Mexico has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
UNM’s student academic integrity guidance states that submitting AI-generated content without acknowledgment is improper when originality is required, and that submitting work written by another person (including AI) without permission or acknowledgment is plagiarism. UNM provides guidance explaining that citation expectations for generative AI may vary by context, and notes that some faculty want prompts/iterative process while others want acknowledgment of tool use.
UNM states that Turnitin Similarity includes an AI writing detection tool and cautions that it may be inaccurate; UNM states it should not be used as the sole basis for adverse actions against a student. UNM directs instructors to refer to the Faculty Handbook and Pathfinder for the appropriate course of action when academic dishonesty is suspected.
UNM states AI tools should only be used with identifiable UNM “P Class” (Public) data unless approved by the appropriate Data Steward/office, with additional approval/coordination requirements for FERPA and HIPAA data. UNM strongly discourages using commercial AI products that have not been evaluated by UNM and advises users to refrain from inputting secured data categories (including CUI, FERPA, GLBA, IRB, PII, HIPAA, PCI DSS, FISMA, and other sensitive/confidential data). UNM lists enterprise supported tools (Copilot, M365 Copilot, Zoom AI, Apple Intelligence on capable UNM-supported devices) and notes supported tools are expected to grow over time.