Policy presence
University of Granada has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Granada, Spain
University of Granada
University of Granada is listed as QS 2026 rank =401. University of Granada has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Granada is listed as QS 2026 rank =401. University of Granada has 6 source-backed AI policy claim records from 4 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 University of Granada as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-granada.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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Research claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: Microsoft Copilot.
- 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
University of Granada has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Granada has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Granada has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Granada has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Granada has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
University of Granada has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Granada has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
University of Granada has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
University of Granada 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
6 reviewed evidence-backed public claim
Source Status
UGR has published Council of Government-presented recommendations for AI use, but the document says it is not normative and does not establish what is permitted or prohibited.
Review: Agent reviewed
Normalized value: official_recommendations_non_normative
Original evidence
Evidence 1Es importante senalar que este documento de recomendaciones no es un documento normativo que establezca lo que esta permitido y lo que no lo esta. Debe servir de inspiracion a los diferentes organos, centros, unidades y miembros de la UGR.
Localized display only
The recommendations document says it is not normative and does not set what is permitted or prohibited; it is intended as inspiration for UGR bodies and members.
Academic Integrity
UGR guidance recommends that students declare AI use in work, take responsibility for the content, avoid plagiarism, and use AI as learning support rather than a substitute for personal effort.
Review: Agent reviewed
Normalized value: declare_ai_use_responsible_student_support
Original evidence
Evidence 1Etica e integridad academica: Declarar el uso de la IA en trabajos, asumir la responsabilidad del contenido y evitar el plagio. Uso complementario de la IA: Utilizar la IA como apoyo al aprendizaje, sin sustituir el esfuerzo personal.
Localized display only
UGR recommends declaring AI use in work, taking responsibility for the content, avoiding plagiarism, and using AI as learning support rather than a substitute for personal effort.
Privacy
UGR guidance recommends avoiding sensitive information in public AI tools, using secure institutional tools, and prioritizing tools provided or contracted by UGR because they undergo privacy and security review.
Review: Agent reviewed
Normalized value: avoid_sensitive_data_prioritize_institutional_tools
Original evidence
Evidence 1Proteccion de la privacidad: Conocer las normativas de proteccion de datos, evitar compartir informacion sensible y usar herramientas institucionales seguras. En todo caso, se recomienda priorizar el uso de las herramientas de IA aportadas por la Universidad de Granada o de terceros contratadas por la UGR.
Localized display only
UGR recommends avoiding sensitive information, using secure institutional tools, and prioritizing AI tools provided by UGR or third parties contracted by UGR.
Research
UGR research guidance recommends declaring AI use with technical and methodological details, verifying and supervising AI outputs, assuming authorship responsibility, and protecting data privacy.
Review: Agent reviewed
Normalized value: research_declare_ai_verify_supervise_protect_data
Original evidence
Evidence 1Investigacion con IA: Transparencia: Declarar el uso de la IA, especificando detalles tecnicos y metodologicos para garantizar la trazabilidad. Integridad y supervision: La IA debe complementar y no sustituir el pensamiento critico. Verificar y supervisar resultados, asumiendo la autoria.
Localized display only
UGR research guidance recommends declaring AI use with technical and methodological details, and verifying/supervising AI outputs while assuming authorship responsibility.
Ai Tool Treatment
UGR states that PDI and PTGAS can use a protected Copilot chat through the institutional Microsoft account, while public generative AI tools can reuse entered data for model training.
Review: Agent reviewed
Normalized value: protected_copilot_for_pdi_ptgas_public_ai_data_risk
Original evidence
Evidence 1La Universidad de Granada proporciona a PDI y PTGAS la oportunidad de utilizar la version protegida del chat Copilot accediendo con la cuenta institucional de Microsoft (@ms.ugr.es). La principal ventaja de esta IA Generativa es que las preguntas y datos que utilicemos para interactuar con el modelo no seran reutilizados posteriormente para reentrenar el modelo.
Localized display only
UGR says PDI and PTGAS can use protected Copilot with the institutional Microsoft account and that interaction data will not be reused to retrain the model.
Ai Tool Treatment
CEPRUD says it evaluates market AI tools for university uses and tells users to review privacy terms and conditions before using any listed tool.
Review: Agent reviewed
Normalized value: ceprud_evaluated_tools_privacy_terms_warning
Original evidence
Evidence 1CEPRUD evalua herramientas disponibles en el mercado con diferentes utilidades practicas para el ambito universitario. Antes de usar cualquiera de ellas, por favor, revisa los terminos de privacidad asi como las condiciones de uso teniendo en mente las recomendaciones hechas en esta pagina.
Localized display only
CEPRUD says it evaluates market AI tools for university uses and asks users to review privacy terms and conditions before using them.
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
4 source attribution
BOUGR numero 260: ACG260/11 Recomendaciones para el uso de la inteligencia artificial en la Universidad de Granada
secretariageneral.ugr.es
Herramientas y aplicaciones IA
ceprud.ugr.es
Que es la IA Generativa?
ceprud.ugr.es
Recomendaciones para usar la IA en la UGR
ceprud.ugr.es
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.