Change log

Université de Montréal

Tracker history: 0 release records.

Change summary

Current public record freshness and review state.

7 current claims; 5 official sources.

This page combines all public release diffs for Université de Montréal. Individual release snapshots remain available from their release-specific URLs.

No recorded updates are available in this tracker history.

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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Tracker claim text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Recorded text comparisons

Only recorded comparisons with an exact Claim ID match are shown.

No recorded updates are available in this tracker history.

Release history

Tracker history: 0 release records.

Current claim records

Current claim records: 7.

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.

Review: Agent reviewedConfidence95%Evidence1Languagesfr

privacy

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

Review: Agent reviewedConfidence93%Evidence1Languagesfr

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.

Review: Agent reviewedConfidence93%Evidence1Languagesfr

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.

Review: Agent reviewedConfidence92%Evidence1Languagesfr

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.

Review: Agent reviewedConfidence90%Evidence1Languagesfr

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.

Review: Agent reviewedConfidence89%Evidence1Languagesfr

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.

Review: Agent reviewedConfidence89%Evidence1Languagesfr

Source snapshots

Official source records: 5.

Enseigner avec l'intelligence artificielle générative (IAg)

official_guidance Tracker checked at May 15, 2026, 4:04 AM

Snapshot hash
828c5e82b00828e6807972f681523b665fb39fd0b30682001596b7aebc95db85