Policy presence
Universidad Nacional de Colombia has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Bogotá, Colombia
Universidad Nacional de Colombia is listed as QS 2026 rank =259. Universidad Nacional de Colombia has 3 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Universidad Nacional de Colombia is listed as QS 2026 rank =259. Universidad Nacional de Colombia has 3 source-backed AI policy claim records from 1 official source attribution. 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 Universidad Nacional de Colombia 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 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-nacional-de-colombia.json. The entity-level confidence is 87%. 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.
Universidad Nacional de Colombia has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Universidad Nacional de Colombia has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Universidad Nacional de Colombia has 1 source-backed public claim for coursework; deterministic analysis status: recommended.
Universidad Nacional de Colombia has 1 source-backed public claim for exams; deterministic analysis status: recommended.
Universidad Nacional de Colombia has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Universidad Nacional de Colombia has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
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.
Universidad Nacional de Colombia has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Universidad Nacional de Colombia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Universidad Nacional de Colombia has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
Research
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 1Recomendaciones 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
Normalized value: teaching guidance recommends literacy, disclosure, assessment redesign, human supervision, misuse transparency, and data/privacy safeguards
Original evidence
Evidence 1Recomendaciones 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
Normalized value: AI guidance flags data security, privacy, and sensitive data management
Original evidence
Evidence 1Recomendaciones 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.
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.
1 source attribution
gcronico.unal.edu.co
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