Policy presence
Universidad de Sevilla has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Seville, Spain
Universidad de Sevilla
Universidad de Sevilla is listed as QS 2026 rank =469. Universidad de Sevilla has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universidad de Sevilla is listed as QS 2026 rank =469. Universidad de Sevilla has 5 source-backed AI policy claim records from 3 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 Universidad de Sevilla as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-de-sevilla.json. The entity-level confidence is 92%. 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 AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution 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
Universidad de Sevilla has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad de Sevilla has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universidad de Sevilla has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Universidad de Sevilla has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universidad de Sevilla has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Universidad de Sevilla has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universidad de Sevilla has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universidad de Sevilla has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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
5 reviewed evidence-backed public claim
Ai Tool Treatment
The Universidad de Sevilla Decálogo says AI users should be transparent about where and how they use AI, including details on the tool, prompt, and data provided.
Review: Agent reviewed
Normalized value: decalogo_transparency_tool_prompt_data
Original evidence
Evidence 1Es necesario ser transparente en el uso de la IA. Úsala como una fuente más de documentación e inspiración. Indica, en cada momento, donde y como la has usado, dando detalles sobre la herramienta empleada, el “prompt” y los datos proporcionados.
Localized display only
The Decálogo calls for transparent AI use, including the tool, prompt, and data provided.
Privacy
The Universidad de Sevilla Decálogo warns that free AI tools may use submitted data for learning and improvement, and says personal or confidential data should only be used with corporate tools that guarantee data protection and privacy.
Review: Agent reviewed
Normalized value: decalogo_personal_confidential_data_corporate_tools_privacy
Original evidence
Evidence 1Por norma general, las herramientas de uso libre pueden usar esos datos en los procesos de aprendizaje y mejora. Si vas a usar datos personales o confidenciales, solo debes usar herramientas corporativas que garanticen la protección y privacidad de los datos, asegurándote con ello que no serán usado para el aprendizaje del sistema.
Localized display only
The Decálogo warns about data use by free AI tools and says personal or confidential data should use corporate tools that protect privacy.
Teaching
Universidad de Sevilla's Decálogo for generative AI in teaching frames generative AI as a high-potential tool and recommends fostering its use across the university community.
Review: Agent reviewed
Normalized value: decalogo_recommends_fostering_generative_ai_use_in_university_community
Original evidence
Evidence 1Dado el potencial de la IA generativa se hace imprescindible fomentar su uso por todos los miembros de nuestra CU, en el convencimiento de que el resto de los actores de la sociedad la usan, y con el objetivo de no quedar rezagados de los avances que esta tecnología puede propiciar.
Localized display only
The Decálogo recommends fostering generative AI use by all members of the university community.
Academic Integrity
The BUS ethical-use guide tells students to follow teaching-staff recommendations and evaluation limits for AI use, cite and declare AI use, avoid plagiarism, and verify AI-provided sources and biases.
Review: Agent reviewed
Normalized value: ethical_use_teacher_limits_cite_declare_ai_avoid_plagiarism_verify_sources
Original evidence
Evidence 1Atender siempre a las recomendaciones del profesorado, respetando los límites y criterios de evaluación que este marque en el uso de las IAs en su asignatura. Citar y declarar el uso de inteligencia artificial. Evitar el plagio de información: para respetar los derechos de autor y la integridad académica es necesario citar y parafrasear siempre, evitando así el plagio accidental o erróneo.
Localized display only
The BUS ethical-use guide tells students to follow instructor limits, cite and declare AI use, and avoid plagiarism.
Academic Integrity
The BUS AI-use declaration guide suggests adding an appendix after the bibliography that identifies the AI tool, purpose, prompts, integration, verification, and ethical limits.
Review: Agent reviewed
Normalized value: ai_use_declaration_template_tool_purpose_prompts_integration_verification_ethics
Original evidence
Evidence 1Se sugiere añadir un anexo al final de tu trabajo (tras la bibliografía) siguiendo el marco AID (Artificial Intelligence Disclosure). A continuación, te ofrecemos una plantilla base y los puntos clave que debes cubrir: Herramienta(s), Propósito, Prompts (Instrucciones), Integración, Verificación, Ética y Límites.
Localized display only
The BUS guide suggests an AI-use appendix covering tool, purpose, prompts, integration, verification, and ethical limits.
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
3 source attribution
Decálogo del uso de la Inteligencia Artificial Generativa en docencia de la Universidad de Sevilla
us.es
Declaración de Uso de IA - Inteligencia artificial en el ámbito académico
guiasbus.us.es
Uso ético - Inteligencia artificial en el ámbito académico
guiasbus.us.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.