Change log

Université du Québec

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

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.

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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Université du Québec current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+10-0
11 # Université du Québec AI policy record
2+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.
3+Evidence (fr, 00026a29a022): Le Conseil des études de l’Université du Québec (UQ) a récemment adopté un énoncé de principes sur l’utilisation responsable de l’intelligence artificielle générative dans les activités de formation et de recherche.
4+privacy: 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.
5+Evidence (fr, 0d3c96ac7aef): À moins d’une autorisation expresse des autorités compétentes, les requêtes faites à un système d’IAg public ne doivent pas comprendre d’informations confidentielles ou de renseignements personnels qui ne sont pas publiquement accessibles.
6+teaching: 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.
7+Evidence (fr, 0d3c96ac7aef): Lorsqu’il fait appel à l’intelligence artificielle générative dans le cadre de la formation ou de la recherche, l’universitaire demeure responsable de la qualité de son travail et imputable des conséquences de ses actions.
8+academic_integrity: 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.
9+Evidence (fr, 0d3c96ac7aef): Toute utilisation significative de l'IAg doit être explicitement mentionnée, en précisant comment et dans quelle mesure elle a été utilisée.
10+academic_integrity: 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.
11+Evidence (fr, 0d3c96ac7aef): Lorsqu’elle s’inscrit dans une démarche de formation, l’utilisation de l’IAg doit contribuer à l’atteinte de ses objectifs, ce qui suppose un alignement pédagogique soigneusement réfléchi ainsi qu’un usage critique et proportionné.

Claim changes

5 claim records

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.

Review: Agent reviewedConfidence93%Evidence1Languagesfr

privacy

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.

Review: Agent reviewedConfidence93%Evidence1Languagesfr

teaching

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.

Review: Agent reviewedConfidence92%Evidence1Languagesfr

academic_integrity

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.

Review: Agent reviewedConfidence91%Evidence1Languagesfr

academic_integrity

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.

Review: Agent reviewedConfidence90%Evidence2Languagesfr

Source snapshots

2 source attributions