Montreal, Canada

Université de Montréal

Last checkedMay 15, 2026Last changedMay 15, 2026Review: Agent reviewedConfidence95%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage7 reviewedEvidence-backed claims7Reviewed7Candidate0Official sources5Source languagefrPublic JSON/api/public/v1/universities/universite-de-montreal.json

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

Policy presence

Université de Montréal has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence78%Evidence5Sources3

Claim cl-udem-course-ai-authorization-explicit Claim cl-udem-grad-transparent-authorized-use Claim cl-udem-grad-no-personal-data-to-genai

AI disclosure

Université de Montréal has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Claim cl-udem-admin-decision-transparency-consent

Coursework

Université de Montréal has 4 source-backed public claims for coursework; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence4Sources3

Claim cl-udem-course-ai-authorization-explicit Claim cl-udem-grad-transparent-authorized-use Claim cl-udem-admin-decision-transparency-consent

Exams

Université de Montréal has 3 source-backed public claims for exams; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence3Sources2

Claim cl-udem-course-ai-authorization-explicit Claim cl-udem-admin-decision-transparency-consent Claim cl-udem-teaching-detection-caution

Privacy and data entry

Université de Montréal has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence79%Evidence2Sources2

Claim cl-udem-admin-confidentiality-no-level-3-4 Claim cl-udem-grad-no-personal-data-to-genai

Academic integrity

Université de Montréal has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Claim cl-udem-course-ai-authorization-explicit

Approved tools

Université de Montréal has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence76%Evidence2Sources2

Claim cl-udem-admin-decision-transparency-consent Claim cl-udem-ti-proscribed-tools-readai-deepseek

Named AI services

Université de Montréal has 4 source-backed public claims for named ai services; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%Evidence4Sources3

Claim cl-udem-admin-confidentiality-no-level-3-4 Claim cl-udem-grad-no-personal-data-to-genai Claim cl-udem-admin-decision-transparency-consent

Teaching guidance

Université de Montréal has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence2Sources1

Claim cl-udem-course-ai-authorization-explicit Claim cl-udem-teaching-detection-caution

Research guidance

Université de Montréal has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence2Sources1

Claim cl-udem-grad-transparent-authorized-use Claim cl-udem-grad-no-personal-data-to-genai

Security and procurement

Université de Montréal has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.

AllowedMachine candidateConfidence76%Evidence1Sources1

Claim cl-udem-ti-proscribed-tools-readai-deepseek

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

7 reviewed evidence-backed public claim

Normalized value: course_plans_explicit_ai_authorization_required_for_permission

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Les plans de cours doivent indiquer explicitement lorsque l’utilisation de tels outils est permise ; sans autorisation explicite, ces outils sont réputés interdits.
Source: Intelligence artificielle - Intégrité

Localized display only

Course plans should explicitly state when these tools are permitted; without explicit authorization, they are deemed prohibited.

Source language: Francais (fr)
Snapshot hash: ff9aa8baf6646b9b3a23573b3e0dae37b20aad6c81eba14540113614cb02c407
Retrieved: May 15, 2026
Evidence locator: Balises, section 3 Donner des consignes explicites

Normalized value: administrative_staff_no_confidential_level_3_4_into_genai

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Les informations de niveaux de confidentialité 3 et 4 « Information confidentielle ou hautement confidentielle à risque élevé, critique ou majeur » ne doivent en aucun cas être saisies dans un outil d’IA générative;
Source: Directive pour l'utilisation de l'intelligence artificielle (IA) générative

Localized display only

Confidentiality level 3 and 4 information must not be entered into a generative AI tool.

Source language: Francais (fr)
Snapshot hash: 0a38067da3dd53506538c686a0cc7848753a9d6e5acece72cbab2985b6dd1b30
Retrieved: May 15, 2026
Evidence locator: Lignes directrices, page 1 of Directive 10.70

Normalized value: graduate_thesis_directed_work_transparent_authorized_ai_use

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

l’utilisation d’outils d’IA générative dans le processus de recherche et de rédaction des travaux dirigés, des mémoires de maitrise, des essais doctoraux et des thèses de doctorat doit toujours se faire en toute transparence. ... L'utilisation non transparente d'outils d'IA générative pourrait être considérée comme une infraction au règlement disciplinaire
Source: Lignes directrices pour une utilisation appropriée de l'intelligence artificielle générative aux études supérieures

Localized display only

For graduate directed work, theses, doctoral essays, and dissertations, generative AI use in research and writing must be transparent; non-transparent use could be treated as a disciplinary offence.

Source language: Francais (fr)
Snapshot hash: 0937ba21a7472623c95de8522f3e9e666a43dd8de49caf6debece6ce4badd24a
Retrieved: May 15, 2026
Evidence locator: Sections 1 and 2 of the graduate-studies guidelines

Normalized value: graduate_research_no_identifying_human_participant_data_to_genai

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

la personne étudiante travaillant avec des données provenant de participants humains à une recherche ne doit soumettre aucune information personnelle ou d'identification sur les participantes et participants, ni aucune information qui pourrait être utilisée pour identifier un individu ou un groupe à des outils d'IA générative.
Source: Lignes directrices pour une utilisation appropriée de l'intelligence artificielle générative aux études supérieures

Localized display only

A student working with human-participant research data must not submit personal or identifying information, or information that could identify an individual or group, to generative AI tools.

Source language: Francais (fr)
Snapshot hash: 0937ba21a7472623c95de8522f3e9e666a43dd8de49caf6debece6ce4badd24a
Retrieved: May 15, 2026
Evidence locator: Section 5 of the graduate-studies guidelines

Normalized value: administrative_staff_readai_deepseek_proscribed

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

L’utilisation de certains outils d’IA générative est permise dans la mesure où les principes énoncés dans la Directive pour l’utilisation de l’intelligence artificielle (IA) générative (10.70) sont respectés. ... L’utilisation des outils d’IA générative suivants est proscrite. READ.AI ... DeepSeek
Source: Utilisation de l'intelligence artificielle (IA) générative

Localized display only

Some generative AI tools are permitted if Directive 10.70 is respected; READ.AI and DeepSeek are listed as proscribed.

Source language: Francais (fr)
Snapshot hash: 8a6b4c370f4edd3ace5888b31f2c74e225bc27605d27d61a6cdee2ae30b95058
Retrieved: May 15, 2026
Evidence locator: TI page, administrative-staff guidance and proscribed-tools sections

Normalized value: ai_detection_results_variable_reliability_teaching_context

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

la fiabilité des outils de détection de contenu produit par l’IAg peut être variable, ce qui oblige à considérer avec beaucoup de prudence leurs résultats.
Source: Intelligence artificielle - Intégrité

Localized display only

The reliability of tools that detect AI-generated content can vary, so their results should be considered with caution.

Source language: Francais (fr)
Snapshot hash: ff9aa8baf6646b9b3a23573b3e0dae37b20aad6c81eba14540113614cb02c407
Retrieved: May 15, 2026
Evidence locator: Balises, section 4 Favoriser un cadre propice à l'intégrité

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

Directive pour l'utilisation de l'intelligence artificielle (IA) générative

secretariatgeneral.umontreal.ca

Source URL: https://secretariatgeneral.umontreal.ca/public/secretariatgeneral/documents/doc_officiels/reglements/administration/adm10_70-Directive_utilisation_IA_generative.pdf
Snapshot hash: 0a38067da3dd53506538c686a0cc7848753a9d6e5acece72cbab2985b6dd1b30

Enseigner avec l'intelligence artificielle générative (IAg)

cpu.umontreal.ca

Source URL: https://cpu.umontreal.ca/iag/enseigner-avec-l-iag/
Snapshot hash: 828c5e82b00828e6807972f681523b665fb39fd0b30682001596b7aebc95db85

Intelligence artificielle - Intégrité

integrite.umontreal.ca

Source URL: https://integrite.umontreal.ca/personnel-enseignant/intelligence-artificielle/
Snapshot hash: ff9aa8baf6646b9b3a23573b3e0dae37b20aad6c81eba14540113614cb02c407

Lignes directrices pour une utilisation appropriée de l'intelligence artificielle générative aux études supérieures

esp.umontreal.ca

Source URL: https://esp.umontreal.ca/fileadmin/esp/documents/PDF/Lignes_directrices_Utilisation_IA_Memoire_et_these_Octobre2024.pdf
Snapshot hash: 0937ba21a7472623c95de8522f3e9e666a43dd8de49caf6debece6ce4badd24a

Utilisation de l'intelligence artificielle (IA) générative

ti.umontreal.ca

Source URL: https://ti.umontreal.ca/cybersecurite/utilisation-de-lintelligence-artificielle-ia-generative/
Snapshot hash: 8a6b4c370f4edd3ace5888b31f2c74e225bc27605d27d61a6cdee2ae30b95058

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

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Back to universities

Université de Montréal

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

UdeM's teaching-integrity guidance says course plans should explicitly state when generative AI tools are permitted; without explicit authorization, the tools are deemed prohibited.

UdeM Directive 10.70 tells administrative staff that confidentiality level 3 and 4 information must never be entered into a generative AI tool.

For UdeM graduate directed work, master's theses, doctoral essays, and dissertations, the graduate-studies guidance says generative AI use in research and writing must be transparent, and non-transparent use could be considered a disciplinary offence.

UdeM's graduate-studies guidance says graduate students working with human-participant research data must not submit personal or identifying participant information, or information that could identify an individual or group, to generative AI tools.

UdeM's TI page for administrative staff says some generative AI tools are permitted if Directive 10.70 principles are respected, but identifies READ.AI and DeepSeek as proscribed tools.

UdeM's teaching-integrity guidance cautions teaching staff that AI-generated-content detection tools can vary in reliability and their results should be considered carefully.

Candidate claims

Official sources

Directive pour l'utilisation de l'intelligence artificielle (IA) générative

Enseigner avec l'intelligence artificielle générative (IAg)

Intelligence artificielle - Intégrité

Lignes directrices pour une utilisation appropriée de l'intelligence artificielle générative aux études supérieures

Utilisation de l'intelligence artificielle (IA) générative

Change log

Corrections