Québec, Canada

Université Laval

Université Laval is listed as QS 2026 rank =469. Université Laval has 7 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Université Laval is listed as QS 2026 rank =469. Université Laval has 7 source-backed AI policy claim records from 7 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 Université Laval as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 7 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-laval.json. The entity-level confidence is 95%. 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.

Claim coverage7 reviewedSource languagefr, fr-CAPublic JSON/api/public/v1/universities/universite-laval.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Research claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official sources7

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

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.

Privacy and data entry

Université Laval has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence81%Evidence1Sources1

Academic integrity

Université Laval has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence80%Evidence1Sources1

Approved tools

Université Laval has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Privacy

Université Laval's AI principles say personal-information protection and copyright must be ensured and that confidential information must not be used in a public AI system.

Review: Agent reviewedConfidence95%

Normalized value: no_confidential_information_in_public_ai_systems

Original evidence

Evidence 1
3.4 La protection des renseignements personnels et le respect du droit d’auteur doivent systématiquement être assurés, et aucune information confidentielle ne doit être utilisée dans un SIA public.

Localized display only

Personal information and copyright must be protected; no confidential information should be used in a public AI system.

Teaching

Université Laval guidance says AI-use expectations should be stated in the course plan and clarified in assessment instructions when AI use is authorized.

Review: Agent reviewedConfidence94%

Normalized value: course_plan_and_assessment_instructions_should_clarify_ai_use

Original evidence

Evidence 1
4.3 Les attentes en lien avec l’utilisation de SIA doivent être explicitées dans le plan de cours et expliquées aux personnes étudiantes, et les modalités d’utilisation de celle-ci, lorsqu’elle est autorisée, sont clarifiées dans les consignes des évaluations.

Localized display only

AI-use expectations should be stated in the course plan and clarified in assessment instructions when authorized.

Academic Integrity

Université Laval guidance says using AI tools is not automatically an academic offence, but unauthorized use may constitute an academic offence under the student disciplinary regulation.

Review: Agent reviewedConfidence94%

Normalized value: ai_not_per_se_offence_but_unauthorized_use_may_be_offence

Original evidence

Evidence 1
L’utilisation d’outils basés sur l’IA ne constitue pas en soi une infraction relative aux études. Si son utilisation a été faite en respectant les attentes mentionnées au plan de cours ou dans les consignes d’une évaluation, il peut s’agir d’une aide autorisée.

Localized display only

AI-tool use is not automatically an academic offence if it follows course-plan or assessment expectations.

Original evidence

Evidence 2
L’utilisation de l’IA sans autorisation peut contrevenir à un ou plusieurs articles du Règlement disciplinaire à l’intention des personnes étudiantes de l’Université Laval selon les circonstances.

Localized display only

Unauthorized AI use may contravene one or more articles of Laval's student disciplinary regulation, depending on circumstances.

Teaching

Université Laval publishes five AI principles for teaching and learning that are derived from its mission, vision, and values.

Review: Agent reviewedConfidence93%

Normalized value: five_ai_teaching_learning_principles

Original evidence

Evidence 1
Pour soutenir la réflexion sur les enjeux et opportunités liés à la présence de systèmes d’intelligence artificielle, cinq principes concernant l’intelligence artificielle dans l’enseignement et l’apprentissage ont été rédigés.

Localized display only

Five principles were drafted to support reflection on AI in teaching and learning.

Ai Tool Treatment

Université Laval states that Microsoft Copilot is available to faculty, teaching staff, students, and administrative staff through an institutional protected version when users connect with ULaval credentials.

Review: Agent reviewedConfidence91%

Normalized value: institutional_protected_copilot_available

Original evidence

Evidence 1
L’agent conversationnel Copilot de Microsoft est disponible pour le corps professoral et enseignant, pour la communauté étudiante et pour le personnel administratif. La licence institutionnelle de Microsoft 365 offerte par l'Université Laval permet d’utiliser la version protégée de Copilot.

Localized display only

Microsoft Copilot is available to Laval faculty, teaching staff, students, and administrative staff through the institutional protected version.

Research

For Université Laval master's and doctoral theses, FESP says students making an initial deposit from winter 2026 must produce a declaration about their use of generative AI.

Review: Agent reviewedConfidence90%

Normalized value: winter_2026_thesis_initial_deposit_ai_declaration

Original evidence

Evidence 1
À compter de la session d’hiver 2026, les étudiantes et étudiants à la maîtrise et au doctorat qui effectuent le dépôt initial de leur mémoire ou de leur thèse doivent obligatoirement produire une déclaration sur l’utilisation de l’IA générative.

Localized display only

Starting winter 2026, master's and doctoral students making an initial thesis deposit must produce a generative-AI use declaration.

Research

Université Laval's library identifies Copilot, Consensus, Elicit, and Web of Science Research Assistant as AI tools available free of charge to the university community for research-documentation support.

Review: Agent reviewedConfidence86%

Normalized value: library_identifies_ai_research_tools_available_to_community

Original evidence

Evidence 1
Parmi ces outils, Copilot, Consensus, Elicit et Web of Science Research Assistant sont accessibles gratuitement à l’ensemble de la communauté universitaire.

Localized display only

Copilot, Consensus, Elicit, and Web of Science Research Assistant are available free of charge to the university community.

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

7 source attribution

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.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

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.

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