University AI Policy Tracker
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Montpellier, France

Université de Montpellier

RankingQS World University Rankings 2026: =430UpdatedMay 16, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

6 reviewed claims

Privacy

UM's AI-in-training principles say confidentiality, privacy, personal data, and intellectual property protections should be guaranteed, and no nominative, confidential, or sensitive data should be used in a public AI tool.

Review: Agent reviewedConfidence95%

Normalized value: no_nominative_confidential_sensitive_data_in_public_ai_tool

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
Le respect de la confidentialite et de la vie privee, ainsi que la protection des donnees personnelles et de la propriete intellectuelle, doivent toujours etre garantis. Aucune donnee nominative, confidentielle ou sensible ne doit etre utilisee dans un outil d'IA public.

Localized display only

The source says confidentiality, privacy, personal data, and IP protections should be guaranteed, and no nominative, confidential, or sensitive data should be used in a public AI tool.

Source language
Français (fr)
Snapshot hash
268d1366…
Retrieved
May 16, 2026
Evidence locator
Principe 5, section 5.2

Academic Integrity

UM's AI-in-training principles say student AI use should respect university regulations, rules for each teaching activity, and assessment-specific instructions; expectations should be clarified in course and assessment materials.

Review: Agent reviewedConfidence93%

Normalized value: students_follow_regulations_course_rules_assessment_instructions

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
L'utilisation de l'IA par les etudiantes et etudiants doit respecter les reglements en vigueur a l'Universite de Montpellier, les regles propres a chaque enseignement et les consignes specifiques a chaque evaluation. Les attentes concernant l'utilisation de l'IA sont explicitees dans les programmes de cours et expliquees aux etudiantes et etudiants.

Localized display only

The source says student AI use should respect UM regulations, teaching-specific rules, and assessment instructions; expectations should be explained in courses.

Source language
Français (fr)
Snapshot hash
268d1366…
Retrieved
May 16, 2026
Evidence locator
Principe 6, sections 6.2 and 6.3

Teaching

UM's AI-in-training principles say decisions to use or address AI in training activities rest with teaching staff and should align with learning objectives.

Review: Agent reviewedConfidence92%

Normalized value: teacher_decision_learning_objectives

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
La decision d'utiliser ou d'aborder l'IA dans les activites de formation releve des personnels enseignants, et s'appuie sur une exploration des possibilites que l'IA offre dans leur domaine disciplinaire, en coherence avec les objectifs d'apprentissage.

Localized display only

The source says decisions to use or address AI in training activities belong to teaching staff and should align with learning objectives.

Source language
Français (fr)
Snapshot hash
268d1366…
Retrieved
May 16, 2026
Evidence locator
Principe 2, section 2.1

Source Status

Universite de Montpellier has official AI-in-training principles, but this staged crawl found no separate central binding AI policy page.

Review: Agent reviewedConfidence90%

Normalized value: official_ai_training_principles_found_no_separate_central_binding_ai_policy

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
Face aux enjeux lies a l'essor de l'IA, l'Universite de Montpellier a defini 7 principes pour l'usage de l'intelligence artificielle dans la formation. Ils ont ete votes par la Commission Formation et Vie Universitaire du 28 janvier 2025 et presentes au Conseil d'Administration du 3 fevrier 2025.

Localized display only

UM says it defined seven AI-in-training principles, voted by CFVU on 2025-01-28 and presented to the board on 2025-02-03.

Source language
Français (fr)
Snapshot hash
268d1366…
Retrieved
May 16, 2026
Evidence locator
Introductory note above Preambule

Ai Tool Treatment

UM's digital-services guidance says the university provides institutional Microsoft Copilot access through A1 and A3 licences for staff and students, with data-protection advantages.

Review: Agent reviewedConfidence88%

Normalized value: institutional_copilot_access_a1_a3_staff_students_data_protection

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
L'Universite de Montpellier a un acces institutionnel a Copilot avec les licences A1 et A3 mises a disposition des personnels et etudiants. Cela signifie que vous beneficiez d'avantages, comme celui de la protection de vos donnees.

Localized display only

UM says it has institutional Copilot access through A1/A3 licences for staff and students, with advantages such as data protection.

Source language
Français (fr)
Snapshot hash
cfd6ea21…
Retrieved
May 16, 2026
Evidence locator
Main article body

Teaching

UM's official AI hub says it offers multiple pathways to help teachers, researchers, staff, and students discover and appropriate AI uses, including AI tools/platforms, resources, self-training, and student acculturation.

Review: Agent reviewedConfidence84%

Normalized value: ai_hub_training_resources_for_community

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
Cet espace propose plusieurs parcours pour accompagner enseignants, chercheurs, personnels et etudiants dans la decouverte et l'appropriation des usages de l'IA. Contenu disponible : Outils & plateformes IA; Ressources & replays; Formations en autoformation; Acculturation des etudiants.

Localized display only

The UM AI hub says it offers multiple pathways and resources for teachers, researchers, staff, and students.

Source language
Français (fr)
Snapshot hash
81283164…
Retrieved
May 16, 2026
Evidence locator
Outils, formations et ressources a l'UM

Source record

Official sources

3 sources

Record information, JSON & citation
Reviewagent reviewedConfidence95%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "Université de Montpellier AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/universite-de-montpellier

Original university source language remains canonical. This tracker is not an official university statement.

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