Policy presence
Universitat de Valencia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
València, Spain
Universitat de Valencia is listed as QS 2026 rank =430. Universitat de Valencia has 3 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.
v1 public contract
Universitat de Valencia is listed as QS 2026 rank =430. Universitat de Valencia has 3 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.
As of this public record, University AI Policy Tracker lists Universitat de Valencia as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 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/universitat-de-valencia.json. The entity-level confidence is 86%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Universitat de Valencia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Universitat de Valencia has 3 source-backed public claims for coursework; deterministic analysis status: recommended.
Universitat de Valencia has 3 source-backed public claims for exams; deterministic analysis status: recommended.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Universitat de Valencia has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.
Universitat de Valencia has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Universitat de Valencia has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Universitat de Valencia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Universitat de Valencia has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
3 reviewed evidence-backed public claim
Academic Integrity
Normalized value: GenAI academic and research integrity training
Original evidence
Evidence 1Herramientas de inteligencia artificial generativa, integridad académica y práctica docente. (I) Usos potenciales por parte del profesorado. (II) Pautas y usos recomendados para las actividades de evaluación a desarrollar por el alumnado. ... Integrar en los instrumentos que enmarcan la práctica docente en el aula ... la regulación del uso de las aplicaciones de inteligencia artificial generativa.
Localized display only
The UVdocencia course covers GenAI tools, academic integrity, recommended uses for student assessment activities, and integration of GenAI-use regulation into teaching instruments.
Teaching
Normalized value: staff-facing GenAI teaching guidance
Original evidence
Evidence 1Uso de herramientas de IA para el apoyo a las labores docentes: preparacion de materiales docentes, ejercicios resueltos, cuestionarios, imagenes de apoyo. Identificacion de plagio. ... Uso de herramientas de generación de texto como ChatGPT en el contexto de la preparación de materiales ... Uso ético de la IA generativa
Localized display only
The UVdocencia page describes AI tools for teaching support, including teaching materials, exercises, questionnaires, support images, plagiarism identification, ChatGPT text generation, and ethical GenAI use.
Ai Tool Treatment
Normalized value: ChatGPT and GenAI introduced for education and research training
Original evidence
Evidence 1Aprender y comprender las tecnologías de IA generativas, incluyendo ChatGPT ... Probar herramientas de IA generativa para la producción de contenido en educación e investigación científica ... Probar herramientas de IA generativa para la creación de materiales y tareas relacionadas con la educación e investigación científica
Localized display only
The official course objectives include learning GenAI technologies including ChatGPT and testing GenAI tools for content, materials, and tasks in education and scientific research.
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.
3 source attribution
uv.es
uv.es
uv.es
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