source_status
Université du Québec states that its Conseil des études adopted a network-level principles statement on responsible use of generative AI in formation and research.
Change log
Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Current public record freshness and review state.
Université du Québec currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 21, 2026. No tracker diff rows are recorded in the latest public release.
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.
Semantic classification for this release diff.
Unified tracker diff generated from the previous and current public release snapshots.
No tracker claim/evidence/source changes are recorded for this university in the latest public release.
5 claim records
Université du Québec states that its Conseil des études adopted a network-level principles statement on responsible use of generative AI in formation and research.
Université du Québec's principles state that public generative AI prompts must not include confidential information or non-public personal information unless competent authorities expressly authorize it.
Université du Québec's principles state that when generative AI is used in formation or research, the university member remains responsible for work quality and consequences, and AI must not replace human judgment and responsibility.
Université du Québec's principles state that significant use of generative AI should be explicitly mentioned, including how and to what extent it was used.
Université du Québec's principles frame generative AI use in formation and research around intellectual integrity, critical and proportionate use, and understanding of AI's operation and risks.
2 source attributions
official_pdf Tracker checked at May 21, 2026, 2:15 PM
official_guidance Tracker checked at May 21, 2026, 2:15 PM