Policy presence
University of Manitoba has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Winnipeg, Canada
University of Manitoba
University of Manitoba has 7 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 7 reviewed claims. Last checked May 17, 2026.
University of Manitoba AI policy short answer
v1 public contract
University of Manitoba has 7 source-backed AI policy claims from 4 official source attributions, including 7 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 17, 2026. Discovery context: University of Manitoba is listed as QS 2026 rank =643.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Manitoba as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 4 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-manitoba.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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- No specific AI service name is highlighted by the current 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 Manitoba has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Manitoba has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Manitoba has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Manitoba has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Manitoba has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
University of Manitoba has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Manitoba has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Manitoba has 3 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
University of Manitoba 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
7 reviewed evidence-backed public claim
Academic Integrity
At the University of Manitoba, unauthorized use of Generative AI is recognized as a form of academic misconduct and can lead to academic misconduct allegations and penalties.
Review: Agent reviewed
Normalized value: unauthorized_genai_academic_misconduct
Original evidence
Evidence 1Unauthorized use of Generative AI is recognized as a form of academic misconduct at UM. As such, students who are not permitted to use AI or students who do not use AI within the parameters indicated by their instructors may face an academic misconduct allegation.
Academic Integrity
University of Manitoba students may use AI and Generative AI tools for coursework only when their instructor has explicitly permitted that use, and expectations can vary by course and assignment.
Review: Agent reviewed
Normalized value: course_specific_explicit_permission_required
Original evidence
Evidence 1Students may only use AI and GenAI tools if permission has been explicitly stated by their instructor--students are encouraged to check their syllabus and to ask questions to confirm what is allowed in their course.
Teaching
The University of Manitoba discourages instructors from using AI-detection software on student work, citing unreliability and privacy, intellectual property, and ethical concerns.
Review: Agent reviewed
Normalized value: ai_detection_software_discouraged
Original evidence
Evidence 1The University of Manitoba discourages the use of AI-detection software programs on student work. Such software programs are unreliable and often incorrectly flag instances of genAI use in human-written content.
Ai Tool Treatment
The University of Manitoba states that it has not formally approved specific Generative AI software; even GenAI tools within its M365 A3 license should be considered with the caution applied to third-party applications that ingest personal data.
Review: Agent reviewed
Normalized value: no_specific_genai_software_formally_approved
Original evidence
Evidence 1The University of Manitoba, however, has not formally approved the use of specific genAI software, genAI tools within our M365 A3 license should be considered with the same caution that would be applied to other third-party applications that ingest personal data.
Privacy
University of Manitoba copyright guidance says users should ensure content uploaded to Generative AI tools is legally permitted and does not contain confidential or sensitive information that should not be used by others.
Review: Agent reviewed
Normalized value: avoid_confidential_sensitive_content_in_genai_inputs
Original evidence
Evidence 1You should ensure that you are legally permitted to upload any content to a Generative AI tool, and that it does not contain any confidential or sensitive information that should not be used by others.
Teaching
University of Manitoba teaching guidance discourages broad or mandatory student use of GenAI systems for learning or assessment until the university is assured that personal data entered into such systems is protected.
Review: Agent reviewed
Normalized value: broad_mandatory_student_genai_discouraged_until_data_protection_assured
Original evidence
Evidence 1The broad or mandatory use of such systems by students for the purpose of learning or assessment are discouraged until we are assured that the system is protecting personal data that is entered into such systems.
Security Review
The University of Manitoba's AI guiding principles say UM must implement appropriate risk assessments and operational controls so UM data is not compromised, privacy is maintained, and intellectual property is protected.
Review: Agent reviewed
Normalized value: ai_risk_assessment_operational_controls_for_data_privacy_ip
Original evidence
Evidence 1UM must ensure that appropriate risk assessments and operational controls are implemented so that our UM data (including that of students, faculty, and staff) is not compromised, that privacy is maintained for our user community, and that intellectual property is protected.
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
4 source attribution
Academic Integrity | University of Manitoba
umanitoba.ca
Artificial intelligence | The Centre for the Advancement of Teaching and Learning | University of Manitoba
umanitoba.ca
Generative AI | Copyright | University of Manitoba
umanitoba.ca
UM Artificial Intelligence - Guiding Principles
umanitoba.ca
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.