Policy presence
University of Macau has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Macau, Macau SAR
University of Macau
University of Macau is listed as QS 2026 rank =285. University of Macau has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Macau is listed as QS 2026 rank =285. University of Macau has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Macau as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 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-macau.json. The entity-level confidence is 97%. 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 Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy 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 Macau has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Macau has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Macau has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Macau has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Macau has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
University of Macau has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Macau has 2 source-backed public claims 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
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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
Source Status
The University of Macau has official guidelines on the use of generative artificial intelligence tools for UM academic staff and students.
Review: Agent reviewed
Normalized value: official_guidelines_found
Original evidence
Evidence 1The University of Macau supports the responsible use of generative AI (GenAI) for teaching, learning and research and urges all academic staff and students to carefully consider their stance on the use of GenAI. The University has produced these guidelines for all UM academic staff and students.
Academic Integrity
UM guidance says students should acknowledge GenAI use in assignment submissions and indicate how GenAI was used.
Review: Agent reviewed
Normalized value: student_acknowledgement_expected
Original evidence
Evidence 1Students should acknowledge the use of GenAI in their assignment submissions (written, spoken or otherwise) and indicate how GenAI has been used.
Teaching
UM guidance says academic staff should include a course policy on GenAI use in syllabi, specifying whether GenAI is permitted, permitted only in certain circumstances or with explicit permission, or prohibited.
Review: Agent reviewed
Normalized value: course_policy_permission_levels
Original evidence
Evidence 1Academic staff should update their syllabi to include a course policy on the use of GenAI. The policy should be specific about how the use of GenAI is or is not allowed in the course. In general, there are three permission levels: Use of GenAI is permitted within the course policy; Use of GenAI is permitted in certain circumstances or with explicit permission; Use of GenAI is prohibited.
Privacy
UM guidance tells academic staff to exercise caution and avoid sharing confidential, sensitive, or personally identifiable information when using GenAI tools.
Review: Agent reviewed
Normalized value: avoid_confidential_sensitive_personal_data_in_genai_tools
Original evidence
Evidence 1Academic staff may be asked by GenAI tools to share and input information and data. As this information and data may become publicly available, staff should exercise caution and avoid sharing confidential, sensitive or personally identifiable information when using GenAI tools.
Academic Integrity
UM CTLE student FAQ guidance says students must declare use of editing aids, including generative AI tools that revise text, to their instructor.
Review: Agent reviewed
Normalized value: declare_editing_aids_including_genai
Original evidence
Evidence 1You must declare your use of any editing aids (including generative AI tools that revise text, and/or any text editors, translation tools, etc.) to your instructor, even if your instructor gives you permission to use them.
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
FAQs for Students: Using Generative AI Tools in Graded Assignments
ctle.um.edu.mo
Guidelines on the Use of Generative Artificial Intelligence Tools
genai.um.edu.mo
The University of Macau Guidelines on the Use of Generative Artificial Intelligence Tools
grs.um.edu.mo
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.