Change log

Universitat de Barcelona

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.

Change summary

Current public record freshness and review state.

Universitat de Barcelona currently has 7 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 15, 2026. No tracker diff rows are recorded in the latest public release.

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

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Universitat de Barcelona combined release diff

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

+14-0
11 # Universitat de Barcelona AI policy record
2+source_status: Universitat de Barcelona's 2026 good-practices document says its objective is to establish a common institutional criterion for responsible, safe, and ethical generative AI use at the university.
3+Evidence (ca, 413eb3815ee9): L'objectiu és establir un criteri institucional comú per a l'ús responsable, segur i ètic de la IAG a la Universitat de Barcelona. La IAG, com a tecnologia capaç de generar continguts nous, s'ha d'utilitzar sempre amb supervisió humana i una formació adequada que n'asseguri l'ús crític, ètic i responsable, així com el compliment de la normativa vigent.
4+security_review: UB's good-practices document says only verified generative AI tools or tools hosted on servers meeting UB security standards may be used, and personal, sensitive, identifying, or institutionally confidential information should not be entered into them.
5+Evidence (ca, 413eb3815ee9): Només es poden utilitzar eines d'IAG verificades o allotjades en servidors que compleixin els estàndards de seguretat de la Universitat de Barcelona, mai en plataformes gratuïtes i no verificades. No s'hi poden introduir dades personals, identificatives o sensibles, o informació institucional confidencial.
6+ai_tool_treatment: UB's good-practices document says final authorship and responsibility remain with the person presenting the content, regardless of generative AI support, and that decisions or production should be human-supervised.
7+Evidence (ca, 413eb3815ee9): L'autoria i la responsabilitat del contingut final recau sempre en la persona que el presenta, independentment del suport d'IAG utilitzat. Tota decisió o producció ha d'estar supervisada per una persona que n'asseguri la qualitat, la coherència i l'adequació als valors institucionals i a l'ordenament jurídic vigent.
8+academic_integrity: UB's good-practices document recommends that students clearly declare generative AI use when relevant and frames transparent, responsible AI use as a commitment to academic integrity.
9+Evidence (ca, 413eb3815ee9): Per garantir la transparència i reconèixer-ne adequadament l'aportació, és recomanable declarar-ne sempre l'ús de manera clara, quan sigui rellevant i no tan sols de revisió. Aquesta explicació pot incloure quina eina s'ha emprat, amb quina finalitat, en quina fase del treball s'ha fet servir, i com s'han revisat o contrastat els resultats. Fer un ús transparent i responsable de la IAG és una mostra de compromís amb la integritat acadèmica.
10+teaching: UB's good-practices document says it is important for instructors to clarify at the beginning of each course what role generative AI may have, where it is permitted or not permitted, and under what conditions.
11+Evidence (ca, 413eb3815ee9): A l'inici de cada curs, és important que el professorat deixi clar quin paper pot tenir la intel·ligència artificial generativa (IAG) a l'assignatura: en quines activitats es permet, en quines no i amb quines condicions. Aquesta informació hauria de quedar recollida en la guia docent (pla docent o programa docent específic), perquè l'estudiantat sàpiga des del primer dia què s'espera del seu comportament i com s'avaluarà el treball que faci respecte a l'ús de la IAG.
12+ai_tool_treatment: UB's teaching document lists Wooclap, H5P with generative AI, Zoom UB with generative AI, and Copilot as tools available to the community via CRAI/UB, while warning that content generated by generative AI applications should always be reviewed.
13+Evidence (ca, 7d0f4c30e9f3): A continuació destaquem algunes de les eines que hi ha disponibles per a la comunitat, accessibles des del web del CRAI: Wooclap; H5P amb IAG; Zoom UB amb IAG; Altres eines d'IAG. A la Universitat de Barcelona s'ha posat a disposició de tota la comunitat l'eina Copilot, que és l'assistent d'intel·ligència artificial de Microsoft. Però alerta!: cal revisar sempre el contingut generat per les aplicacions que utilitzin eines d'IAG.
14+teaching: UB's teaching document recommends assessment designs that emphasize the process leading to an answer, set conditions under which AI-generated work may not pass, and use portfolios or reflective journals where students can declare which generative AI resources they used.
15+Evidence (ca, 7d0f4c30e9f3): Donar importància al procediment per arribar a la resposta, i no només a la resposta. Establir en quines condicions no pot ser aprovat un treball, com ara quan es presentin parts generades per IAG sense justificació, quan hi hagi referències no existents o quan es faci servir terminologia no adequada per al nivell acadèmic, entre d'altres. Una bona pràctica d'avaluació continuada és l'ús dels portafolis i dels diaris reflexius, en què l'estudiant narra i reflexiona sobre les activitats portades a terme.

Release history

0 public release diffs

Claim changes

7 claim records

source_status

Universitat de Barcelona's 2026 good-practices document says its objective is to establish a common institutional criterion for responsible, safe, and ethical generative AI use at the university.

Review: Agent reviewedConfidence94%Evidence1Languagesca

security_review

UB's good-practices document says only verified generative AI tools or tools hosted on servers meeting UB security standards may be used, and personal, sensitive, identifying, or institutionally confidential information should not be entered into them.

Review: Agent reviewedConfidence94%Evidence1Languagesca

ai_tool_treatment

UB's good-practices document says final authorship and responsibility remain with the person presenting the content, regardless of generative AI support, and that decisions or production should be human-supervised.

Review: Agent reviewedConfidence93%Evidence1Languagesca

academic_integrity

UB's good-practices document recommends that students clearly declare generative AI use when relevant and frames transparent, responsible AI use as a commitment to academic integrity.

Review: Agent reviewedConfidence92%Evidence1Languagesca

teaching

UB's good-practices document says it is important for instructors to clarify at the beginning of each course what role generative AI may have, where it is permitted or not permitted, and under what conditions.

Review: Agent reviewedConfidence91%Evidence1Languagesca

ai_tool_treatment

UB's teaching document lists Wooclap, H5P with generative AI, Zoom UB with generative AI, and Copilot as tools available to the community via CRAI/UB, while warning that content generated by generative AI applications should always be reviewed.

Review: Agent reviewedConfidence90%Evidence1Languagesca

teaching

UB's teaching document recommends assessment designs that emphasize the process leading to an answer, set conditions under which AI-generated work may not pass, and use portfolios or reflective journals where students can declare which generative AI resources they used.

Review: Agent reviewedConfidence90%Evidence1Languagesca

Source snapshots

2 source attributions