Policy presence
Université du Québec has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Québec, Canada
Université du Québec
Université du Québec has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 21, 2026.
Université du Québec AI policy short answer
v1 public contract
Université du Québec has 5 source-backed AI policy claims from 2 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 21, 2026. Discovery context: Université du Québec is listed as QS 2026 rank 851-900.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Université du Québec as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universite-du-quebec.json. The entity-level confidence is 93%. 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 Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current 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
Université du Québec has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Université du Québec has 3 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Université du Québec has 3 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
Université du Québec has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Université du Québec has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.
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
Université du Québec has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Université du Québec has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Université du Québec has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
Université du Québec states that its Conseil des études adopted a network-level principles statement on responsible use of generative AI in formation and research.
Review: Agent reviewed
Normalized value: network_principles_statement_adopted
Original evidence
Evidence 1Le Conseil des études de l’Université du Québec (UQ) a récemment adopté un énoncé de principes sur l’utilisation responsable de l’intelligence artificielle générative dans les activités de formation et de recherche.
Localized display only
The UQ Conseil des études adopted a principles statement on responsible generative AI use in formation and research.
Privacy
Université du Québec's principles state that public generative AI prompts must not include confidential information or non-public personal information unless competent authorities expressly authorize it.
Review: Agent reviewed
Normalized value: no_confidential_or_non_public_personal_information_in_public_iag_prompts_without_authorization
Original evidence
Evidence 1À moins d’une autorisation expresse des autorités compétentes, les requêtes faites à un système d’IAg public ne doivent pas comprendre d’informations confidentielles ou de renseignements personnels qui ne sont pas publiquement accessibles.
Localized display only
Unless expressly authorized by competent authorities, prompts to public generative AI systems must not include confidential information or non-public personal information.
Teaching
Université du Québec's principles state that when generative AI is used in formation or research, the university member remains responsible for work quality and consequences, and AI must not replace human judgment and responsibility.
Review: Agent reviewed
Normalized value: human_responsibility_required_for_iag_use
Original evidence
Evidence 1Lorsqu’il fait appel à l’intelligence artificielle générative dans le cadre de la formation ou de la recherche, l’universitaire demeure responsable de la qualité de son travail et imputable des conséquences de ses actions.
Localized display only
When generative AI is used for formation or research, the university member remains responsible for work quality and consequences.
Academic Integrity
Université du Québec's principles state that significant use of generative AI should be explicitly mentioned, including how and to what extent it was used.
Review: Agent reviewed
Normalized value: significant_iag_use_should_be_disclosed
Original evidence
Evidence 1Toute utilisation significative de l'IAg doit être explicitement mentionnée, en précisant comment et dans quelle mesure elle a été utilisée.
Localized display only
Any significant use of generative AI should be explicitly mentioned, including how and to what extent it was used.
Academic Integrity
Université du Québec's principles frame generative AI use in formation and research around intellectual integrity, critical and proportionate use, and understanding of AI's operation and risks.
Review: Agent reviewed
Normalized value: integrity_critical_proportionate_and_informed_iag_use
Original evidence
Evidence 1Lorsqu’elle s’inscrit dans une démarche de formation, l’utilisation de l’IAg doit contribuer à l’atteinte de ses objectifs, ce qui suppose un alignement pédagogique soigneusement réfléchi ainsi qu’un usage critique et proportionné.
Localized display only
For formation, generative AI use should support objectives and involve carefully considered pedagogical alignment plus critical, proportionate use.
Original evidence
Evidence 2L'utilisation de l’IAg dans les activités de formation et de recherche universitaires doit être fondée sur une compréhension adéquate de ses principes généraux de fonctionnement.
Localized display only
Use of generative AI in university formation and research should rest on adequate understanding of its general operating principles.
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
2 source attribution
Énoncé de principes sur l'utilisation responsable de l'intelligence artificielle générative dans les activités de formation et de recherche
docutheque.uquebec.ca
L'Université du Québec prend position sur l'utilisation de l'intelligence artificielle en contexte universitaire
reseau.uquebec.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.