Madrid, Spain

Universidad Carlos III de Madrid (UC3M)

Universidad Carlos III de Madrid (UC3M) is listed as QS 2026 rank 301. Universidad Carlos III de Madrid (UC3M) has 4 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 Carlos III de Madrid (UC3M) is listed as QS 2026 rank 301. Universidad Carlos III de Madrid (UC3M) has 4 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 Carlos III de Madrid (UC3M) as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 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-carlos-iii-de-madrid-uc3m.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.

Claim coverage4 reviewedSource languageesPublic JSON/api/public/v1/universities/universidad-carlos-iii-de-madrid-uc3m.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current public claim text.
  • 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence74%

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 Carlos III de Madrid (UC3M) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence71%Evidence1Sources1

Privacy and data entry

Universidad Carlos III de Madrid (UC3M) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence78%Evidence1Sources1

Academic integrity

Universidad Carlos III de Madrid (UC3M) has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence71%Evidence1Sources1

Approved tools

Universidad Carlos III de Madrid (UC3M) has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence75%Evidence1Sources1

Teaching guidance

Universidad Carlos III de Madrid (UC3M) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

4 reviewed evidence-backed public claim

Privacy

UC3M states that personal data for which the university is responsible must not be entered into external-provider AI platforms without Data Protection Officer approval for an exception.

Review: Agent reviewedConfidence92%

Normalized value: no personal data in external AI platforms without DPO exception approval

Original evidence

Evidence 1
La Universidad Carlos III de Madrid NO autoriza la introducción de datos personales de los cuales sea responsable de su tratamiento o custodia, en plataformas de inteligencia artificial de proveedores externos. Cualquier excepción a esta política general requerirá del visto bueno del Delegado de Protección de Datos.

Ai Tool Treatment

UC3M guidance says the university does not intend to prohibit generative AI tools, while emphasizing appropriate use for learning and assessment.

Review: Agent reviewedConfidence88%

Normalized value: not a general prohibition; appropriate use expected

Original evidence

Evidence 1
Los estudiantes debéis saber que la Universidad Carlos III de Madrid no pretende prohibir el uso de herramientas de inteligencia artificial generativas, pero sí debemos utilizarlas de forma adecuada para conseguir mejorar los procesos de aprendizaje y evaluación.

Teaching

UC3M guidance recommends that teaching staff explicitly define at the start of a course how GenAI tools may be used and how far that use may go.

Review: Agent reviewedConfidence86%

Normalized value: course-level explicit GenAI use limits

Original evidence

Evidence 1
Proponemos delimitar y explicitar al inicio de nuestro curso una serie de principios éticos que todos debemos respetar. El profesorado debe servir de guía de estos principios a través de sus asignaturas, tanto estableciendo sus normas como sirviendo de modelo para el estudiantado.

Academic Integrity

UC3M guidance suggests that assessable work can require students to state explicitly what use they made of GenAI tools, including prompts and adaptation of responses.

Review: Agent reviewedConfidence84%

Normalized value: student GenAI use declaration in assessable work

Original evidence

Evidence 1
Concretar al principio de curso, de manera explícita, la limitación de uso de las GenAIs que queremos establecer: cómo se puede usar y hasta dónde. Por ejemplo, marcando en un trabajo evaluable que se debe indicar explícitamente, en un apartado concreto, qué uso se ha hecho de estas herramientas para generar el contenido

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

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.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

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.

Back to universities