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Log perubahan

Université de Montpellier

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Semakan: Disemak oleh ejenTerakhir diperiksa16 Mei 2026Terkini diubah16 Mei 2026Tuntutan6Sumber3Rekod keluaran0
Halaman universitiJSON awamLaporan bulananIndeks universiti

Ringkasan perubahan

Kesegaran rekod awam semasa dan keadaan semakan.

Université de Montpellier currently has 6 source-backed claim records and 3 official source attributions. Latest tracked changed date: 16 Mei 2026. No tracker diff rows are recorded in the latest public release.

Halaman ini menggabungkan semua perbezaan pelepasan awam untuk Université de Montpellier. Snapshot pelepasan individu kekal boleh diakses dari URL khusus pelepasan mereka.

Belum ada baris perbezaan dasar antara pelepasan yang direkodkan untuk universiti ini. Halaman masih menjejak tuntutan disokong sumber semasa, atribusi rasmi sumber, keadaan semakan, kesegaran sumber, dan JSON awam untuk penemuan dan petikan.

This tracker 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.

Tuntutan diekstrak baharu adalah penambahan penjejak dan tidak semestinya diterbitkan baru-baru ini oleh universiti. Perubahan snapshot sumber menunjukkan perubahan hesh untuk URL sumber yang sama dan bukan merupakan perubahan dasar secara langsung.

Kategori perbezaan

Klasifikasi semantik untuk perbezaan keluaran ini.

Teks dasar0Diekstrak baharu0Bukti0Snapshot sumber0Teks sumber0Sumber ditambah0Sumber dialih keluar0

Perbezaan pelepasan gabungan

Perbezaan penjejak bersatu dijana daripada semua snapshot pelepasan awam untuk universiti ini.

Université de Montpellier combined release perbezaan

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+12-0
11 # Université de Montpellier AI policy record
2+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.
3+Evidence (fr, 268d1366e75f): 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.
4+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.
5+Evidence (fr, 268d1366e75f): 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.
6+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.
7+Evidence (fr, 268d1366e75f): 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.
8+source_status: Universite de Montpellier has official AI-in-training principles, but this staged crawl found no separate central binding AI policy page.
9+Evidence (fr, 268d1366e75f): 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.
10+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.
11+Evidence (fr, cfd6ea215023): 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.
12+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.
13+Evidence (fr, 81283164d517): 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.

Sejarah keluaran

0 public release diffs

Perubahan tuntutan

6 rekod Tuntut

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.

Semakan: Disemak oleh ejenKeyakinan84%Bukti1Bahasafr

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.

Semakan: Disemak oleh ejenKeyakinan88%Bukti1Bahasafr

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.

Semakan: Disemak oleh ejenKeyakinan93%Bukti1Bahasafr

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.

Semakan: Disemak oleh ejenKeyakinan95%Bukti1Bahasafr

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.

Semakan: Disemak oleh ejenKeyakinan92%Bukti1Bahasafr

source_status

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

Semakan: Disemak oleh ejenKeyakinan90%Bukti1Bahasafr

Snapshot sumber

3 source attributions