Bogotá, Colombia

Universidad Nacional de Colombia

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources1Source languageesPublic JSON/api/public/v1/universities/universidad-nacional-de-colombia.json

Policy profile

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence73%

Coursework

Universidad Nacional de Colombia has 1 source-backed public claim for coursework; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Exams

Universidad Nacional de Colombia has 1 source-backed public claim for exams; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Academic integrity

Universidad Nacional de Colombia has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence74%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Universidad Nacional de Colombia has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1

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 records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

3 reviewed evidence-backed public claim

Research

Universidad Nacional de Colombia, Sede Bogotá guidance for research recommends transparent documentation and declaration of AI use, clear limits that do not attribute authorship to AI, prevention of plagiarism, respect for intellectual property, avoidance of indiscriminate use or AI as a ghost author, and human supervision rather than excessive automated dependence.

Review: Agent reviewedConfidence87%

Normalized value: research guidance recommends AI-use disclosure, no AI authorship, plagiarism prevention, intellectual property respect, no ghost authorship, and human supervision

Original evidence

Evidence 1
Recomendaciones para el uso de la IA en actividades de INVESTIGACIÓN: Responsabilidad ética en el uso de la IA. Formación, capacitación y alfabetización en IA para investigadores. Límites claros-No atribución de autoría a la IA. Evitar dependencia excesiva de la IA y uso automatizado sin supervisión. Exposición transparente del uso: documentación y declaración del uso de la IA. Integridad académica- Prevención del plagio y respeto a la propiedad intelectual. No uso indiscriminado o como "autor fantasma".

Localized display only

Research recommendations include ethical responsibility, clear limits with no AI authorship, supervised use, transparent documentation/declaration, plagiarism prevention, intellectual-property respect, and no ghost authorship.

Teaching

Universidad Nacional de Colombia, Sede Bogotá guidance recommends AI literacy, ethical and responsible use, reflective integration, clear disclosure of AI use, redesign of tasks and assessments, human supervision, critical reflection, transparency about consequences of misuse, and attention to data security and privacy for teaching activities.

Review: Agent reviewedConfidence86%

Normalized value: teaching guidance recommends literacy, disclosure, assessment redesign, human supervision, misuse transparency, and data/privacy safeguards

Original evidence

Evidence 1
Recomendaciones para el uso de la IA en actividades de DOCENCIA: Capacitación y alfabetización en IA. Uso ético y responsable de la IA. Integración reflexiva de la IA. Declaración clara sobre el uso de la IA. Adaptación (rediseño) de tareas y evaluaciones. Monitoreo y supervisión humana. Observancia crítica y fomento del pensamiento reflexivo. Información transparente sobre consecuencias del mal uso. Seguridad de datos y privacidad.

Localized display only

Recommendations for AI use in teaching include AI literacy, ethical use, disclosure, assessment redesign, human supervision, misuse transparency, and data/privacy safeguards.

Privacy

Universidad Nacional de Colombia, Sede Bogotá AI-use guidance flags data security and privacy for teaching activities and management of sensitive data and privacy for research activities.

Review: Agent reviewedConfidence84%

Normalized value: AI guidance flags data security, privacy, and sensitive data management

Original evidence

Evidence 1
Recomendaciones para el uso de la IA en actividades de DOCENCIA: Seguridad de datos y privacidad. Recomendaciones para el uso de la IA en actividades de INVESTIGACIÓN: Manejo de datos sensibles y privacidad.

Localized display only

The teaching recommendations flag data security and privacy, and the research recommendations flag handling sensitive data and privacy.

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

Change log

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

Corrections

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