University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Universidad Nacional de Colombia

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims3Sources1
University pagePublic JSON

Change summary

Current public record freshness and review state.

Universidad Nacional de Colombia currently has 3 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 16, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Universidad Nacional de Colombia current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+6-0
11 # Universidad Nacional de Colombia AI policy record
2+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.
3+Evidence (es, 4de5691aad8a): 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".
4+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.
5+Evidence (es, 4de5691aad8a): 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.
6+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.
7+Evidence (es, 4de5691aad8a): 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.

Claim changes

3 claim records

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%Evidence1Languageses

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%Evidence1Languageses

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%Evidence1Languageses

Source snapshots

1 source attribution