Madrid, Spain

Universidad Carlos III de Madrid (UC3M)

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3Source languageesPublic JSON/api/public/v1/universities/universidad-carlos-iii-de-madrid-uc3m.json

Policy profile

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

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

AI tools

Derived tool records1

AI tools

Universidad Carlos III de Madrid (UC3M)

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Blocked / restricted
Review
Agent reviewed
Sources

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

Official sources

3 source attribution

Change log

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

Corrections

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