Policy presence
Universitat de Barcelona has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Barcelona, Spain
Universitat de Barcelona
Universitat de Barcelona is listed as QS 2026 rank 160. Universitat de Barcelona has 7 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universitat de Barcelona is listed as QS 2026 rank 160. Universitat de Barcelona has 7 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universitat de Barcelona as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universitat-de-barcelona.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Security review claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Universitat de Barcelona has 5 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universitat de Barcelona has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Universitat de Barcelona has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Universitat de Barcelona has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universitat de Barcelona has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Universitat de Barcelona has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Universitat de Barcelona has 2 source-backed public claims for named ai services; deterministic analysis status: allowed.
Teaching guidance
Universitat de Barcelona has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universitat de Barcelona has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
Universitat de Barcelona has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
7 reviewed evidence-backed public claim
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 reviewed
Normalized value: institutional_good_practices_common_criterion_for_genai_use
Original evidence
Evidence 1L'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.
Localized display only
The document states that its objective is to establish a common institutional criterion for responsible, safe, and ethical generative AI use at UB, with human supervision and appropriate training.
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 reviewed
Normalized value: verified_or_security_compliant_tools_only_for_protected_data
Original evidence
Evidence 1Només 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.
Localized display only
UB says only verified or UB security-compliant hosted generative AI tools may be used, and protected personal or institutional confidential information should not be entered.
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 reviewed
Normalized value: final_responsibility_remains_with_presenter_and_requires_human_supervision
Original evidence
Evidence 1L'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.
Localized display only
UB states that final authorship and responsibility remain with the presenter, and decisions or output should be supervised by a person.
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 reviewed
Normalized value: students_recommended_to_declare_relevant_genai_use
Original evidence
Evidence 1Per 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.
Localized display only
UB recommends clear declaration of generative AI use when relevant, including tool, purpose, stage, and review or checking process, and connects this to academic integrity.
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 reviewed
Normalized value: instructors_should_clarify_course_level_genai_conditions
Original evidence
Evidence 1A 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.
Localized display only
UB says instructors should clarify course-level generative AI conditions at the beginning of each course and record them in the course guide or program.
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 reviewed
Normalized value: ub_tools_include_wooclap_h5p_zoom_copilot_with_review_warning
Original evidence
Evidence 1A 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.
Localized display only
The UB teaching document lists Wooclap, H5P with generative AI, Zoom UB with generative AI, and Copilot as available tools, and warns that generated content should always be reviewed.
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 reviewed
Normalized value: assessment_guidance_process_conditions_and_reflective_ai_disclosure
Original evidence
Evidence 1Donar 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.
Localized display only
UB recommends assessment approaches that value process, define conditions for non-approval of unjustified AI-generated work, and use reflective portfolios or journals.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
2 source attribution
Bones pràctiques per a l'ús de la intel·ligència artificial generativa a la Universitat de Barcelona
diposit.ub.edu
Intel·ligència artificial en la docència: implicació en les activitats d'aprenentatge i avaluació
diposit.ub.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.