变更日志

Université de Montréal

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.

变更摘要

当前公共记录的新鲜度与审核状态。

Université de Montréal currently has 7 source-backed claim records and 5 official source attributions. Latest tracked changed date: 2026年5月15日. No tracker diff rows are recorded in the latest public release.

此页面汇总了所有针对的公开版本差异记录 Université de Montréal。各个版本的发布快照仍可通过其特定发布的 URL 访问。

目前尚未记录该大学的版本间策略差异行。页面仍会追踪当前基于来源的主张、官方来源归属、审核状态、来源时效性以及用于发现和引用的公开JSON。

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.

新提取的主张是追踪器的新增项,不一定是大学新发布的。来源快照变更显示了同一来源 URL 的哈希值变化,这本身并不代表政策发生了变化。

差异类别

此版本差异的语义分类。

政策文本0新提取的0证据0源快照0源文本0已添加来源0已移除来源0

组合版本差异

由该大学的所有公开发布快照生成的统一追踪器差异。

Université de Montréal combined release 差异

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

+14-0
11 # Université de Montréal AI policy record
2+academic_integrity: 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.
3+Evidence (fr, ff9aa8baf664): Les plans de cours doivent indiquer explicitement lorsque l’utilisation de tels outils est permise ; sans autorisation explicite, ces outils sont réputés interdits.
4+privacy: UdeM Directive 10.70 tells administrative staff that confidentiality level 3 and 4 information must never be entered into a generative AI tool.
5+Evidence (fr, 0a38067da3dd): 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;
6+research: 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.
7+Evidence (fr, 0937ba21a747): 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
8+privacy: 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.
9+Evidence (fr, 0937ba21a747): 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.
10+ai_tool_treatment: For administrative staff, UdeM Directive 10.70 says generative AI use should be disclosed, and use in a decision-making process should be disclosed to affected persons with consent obtained before use.
11+Evidence (fr, 0a38067da3dd): Si l’IA générative est utilisée dans le cadre d’un processus décisionnel, divulguez-le aux personnes concernées et obtenez leur consentement avant d’y avoir recours.
12+security_review: 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.
13+Evidence (fr, 8a6b4c370f4e): 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
14+teaching: 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.
15+Evidence (fr, ff9aa8baf664): 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.

版本历史

0 public release diffs

声明变更

7 声明 条记录

academic_integrity

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.

审核: 智能体已审核置信度95%证据1语言fr

privacy

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

审核: 智能体已审核置信度93%证据1语言fr

research

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.

审核: 智能体已审核置信度93%证据1语言fr

privacy

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.

审核: 智能体已审核置信度92%证据1语言fr

ai_tool_treatment

For administrative staff, UdeM Directive 10.70 says generative AI use should be disclosed, and use in a decision-making process should be disclosed to affected persons with consent obtained before use.

审核: 智能体已审核置信度90%证据1语言fr

security_review

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.

审核: 智能体已审核置信度89%证据1语言fr

teaching

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.

审核: 智能体已审核置信度89%证据1语言fr

源快照

5 source attributions

Enseigner avec l'intelligence artificielle générative (IAg)

official_guidance Tracker checked at 2026年5月15日 04:04

快照哈希值
828c5e82b00828e6807972f681523b665fb39fd0b30682001596b7aebc95db85