Policy presence
University of New Mexico has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Albuquerque, United States
University of New Mexico
University of New Mexico has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 19, 2026.
University of New Mexico AI policy short answer
v1 public contract
University of New Mexico has 5 source-backed AI policy claims from 3 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 19, 2026. Discovery context: University of New Mexico is listed as QS 2026 rank 751-760.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of New Mexico as an agent-reviewed AI policy record last checked on May 19, 2026 and last changed on May 19, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-new-mexico.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
University of New Mexico has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of New Mexico has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of New Mexico has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of New Mexico has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of New Mexico has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
University of New Mexico has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of New Mexico has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of New Mexico has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
University of New Mexico has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
5 reviewed evidence-backed public claim
Academic Integrity
UNM Student Rights and Responsibilities lists using generative AI where it is not allowed, and submitting AI-generated content without acknowledgment when originality is required, as improper use of AI or technology in academic integrity guidance.
Review: Agent reviewed
Normalized value: Unauthorized or unacknowledged AI use can be improper academic use.
Original evidence
Evidence 1Improper Use of AI or Technology Using generative AI in assignments where it is not allowed. Submitting AI-generated content without acknowledgment when originality is required
Privacy
UNM AI Resources guidance says AI tools should only be used with identifiable UNM data classified as public data unless approved by the appropriate UNM Data Steward or other appropriate office.
Review: Agent reviewed
Normalized value: AI tools should only be used with identifiable UNM public data unless approved.
Original evidence
Evidence 1AI 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.
Privacy
UNM AI Resources guidance directs users to contact their office or department IT Officer before using identifiable FERPA data in AI platforms so a risk assessment can be initiated.
Review: Agent reviewed
Normalized value: FERPA data use in AI platforms requires contacting IT Officer for risk assessment.
Original evidence
Evidence 1Before using identifiable FERPA data in AI platforms, users should contact their office's/department's IT Officer to initiate a risk assessment.
Ai Tool Treatment
UNM AI Resources guidance states that AI-generated output should be closely reviewed and verified by a human because AI tools can generate inaccurate, incomplete, or biased responses.
Review: Agent reviewed
Normalized value: AI output should be reviewed and verified by a human.
Original evidence
Evidence 1AI tools can generate inaccurate, incomplete, or biased responses, so any AI-generated output should be closely reviewed and verified by a human.
Ai Tool Treatment
UNM student-facing AI guidance tells students to check with their instructor about permitted AI uses before using AI for an assignment and to provide citations for AI-generated content.
Review: Agent reviewed
Normalized value: Students should check instructor expectations and cite AI-generated content.
Original evidence
Evidence 1Be sure to check with your instructor about what uses of AI are permitted before using it for an assignment. Do not represent AI generated content as original work.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
3 source attribution
Academic Integrity Guide for Students :: Student Rights and Responsibilities
studentconduct.unm.edu
Appropriate Use and Guidelines :: UNM AI Resources
airesources.unm.edu
Intro to AI :: UNM AI Resources
airesources.unm.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.