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Bogotá, Colombia

Pontificia Universidad Javeriana

Last checkedMay 16, 2026Last changedMay 16, 2026Review: Agent reviewedConfidence86%
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Record status

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

Policy profile

Analysis JSONAnalysis review
Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence72%

AI disclosure

Pontificia Universidad Javeriana has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1
Claim claim-puj-caee-writing-class-agreements

Privacy and data entry

Pontificia Universidad Javeriana has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1
Claim claim-puj-caee-research-sensitive-data

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Pontificia Universidad Javeriana has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1
Claim claim-puj-caee-research-sensitive-data

Research guidance

Pontificia Universidad Javeriana has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1
Claim claim-puj-caee-research-sensitive-data

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

Tools directory
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

Teaching

Pontificia Universidad Javeriana's CAE+E guidance suggests that instructors consider class agreements for generative AI use, including specific situations of use, type of use, human and AI roles, and citation of AI-produced or AI-collaborative texts.

Review: Agent reviewedConfidence86%

Normalized value: caee-guidance-class-ai-agreements

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
Si todavía no existen estos acuerdos, algunos aspectos sobre los que se podría conversar son: Situaciones específicas de uso. Tipo de uso (instrumental o colaborativo). Roles que tendrán los humanos y las IAG. Nociones de citación de los textos producidos por IAG o en colaboración con estas.

Localized display only

CAE+E suggests discussing class agreements for AI use, including use situations, instrumental or collaborative use, human/AI roles, and citation of texts produced with AI.

Source language
Espanol (es)
Snapshot hash
079b261de6e90bca3980957f8a79f367ee9d8a4174252f25f5edd1f9fc03ef9b
Retrieved
May 16, 2026
Evidence locator
Guía para exploradores de IAG en educación > Escritura > Para reflexionar

Teaching

Pontificia Universidad Javeriana's CAE+E guidance frames generative AI in education as support, not a replacement, and says teaching plans still depend on teacher expertise and disciplinary teaching knowledge.

Review: Agent reviewedConfidence84%

Normalized value: caee-guidance-support-not-replacement

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
La IAG puede ofrecer puntos de partida o tendencias interesantes para integrar en la planeación, sin embargo, para llegar a una propuesta de curso pertinente sigue siendo fundamental la experiencia docente y el conocimiento sobre la enseñanza de un saber específico.

Localized display only

CAE+E says generative AI can offer starting points for planning, but a relevant course proposal still depends on teacher expertise and disciplinary teaching knowledge.

Source language
Espanol (es)
Snapshot hash
079b261de6e90bca3980957f8a79f367ee9d8a4174252f25f5edd1f9fc03ef9b
Retrieved
May 16, 2026
Evidence locator
Guía para exploradores de IAG en educación > Enseñanza > Sobre su uso: apoyo, no reemplazo

Privacy

Pontificia Universidad Javeriana's CAE+E guidance says research use of generative AI should consider protocols for handling sensitive or personal participant information.

Review: Agent reviewedConfidence83%

Normalized value: caee-guidance-research-sensitive-data-protocols

Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
El almacenamiento de datos en herramientas de inteligencia artificial debe contemplar protocolos de uso de información sensible o personal de los participantes de los procesos de investigación.

Localized display only

CAE+E says storing data in AI tools should consider protocols for sensitive or personal information from research participants.

Source language
Espanol (es)
Snapshot hash
079b261de6e90bca3980957f8a79f367ee9d8a4174252f25f5edd1f9fc03ef9b
Retrieved
May 16, 2026
Evidence locator
Guía para exploradores de IAG en educación > Investigación > Sobre su uso: apoyo, no reemplazo

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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