University AI Policy Tracker
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Buenos Aires, Argentina

Universidad de Buenos Aires (UBA)

Last checkedMay 13, 2026Last changedMay 13, 2026Review: Agent reviewedConfidence90%
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Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources1Source languageesPublic JSON/api/public/v1/universities/universidad-de-buenos-aires.json

Policy profile

Analysis JSONAnalysis review
Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

Privacy and data entry

Universidad de Buenos Aires (UBA) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1
Claim claim-uba-brujulia-privacy-001

Academic integrity

Universidad de Buenos Aires (UBA) has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1
Claim claim-uba-brujulia-integrity-001

Approved tools

Universidad de Buenos Aires (UBA) has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence75%Evidence1Sources1
Claim claim-uba-brujulia-ai-use-contract-001

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

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

5 reviewed evidence-backed public claim

Teaching

CITEP/UBA presents La Brújul-IA as teaching guidance that offers conceptual keys and concrete strategies for critical, situated integration of AI in higher-education teaching.

Review: Agent reviewedConfidence90%

Normalized value: citep_guidance_critical_situated_ai_teaching

Last checked
May 13, 2026
Last changed
May 13, 2026

Original evidence

Evidence 1
La Brújul-IA: Orientaciones para la integración de la IA en la Educación Superior es un decálogo que invita a repensar nuestras prácticas de enseñanza ante la irrupción de nuevas tecnologías, producido colaborativamente por docentes universitarios durante el Hackatón IA que organizó el CITEP. Ofrece claves conceptuales y estrategias concretas para una integración crítica y situada de la IA en la enseñanza.

Localized display only

CITEP/UBA describes La Brújul-IA as a teaching decálogo with conceptual keys and concrete strategies for critical, situated AI integration.

Source language
Espanol (es)
Snapshot hash
a7070768f42649a23b93dab100fe8ae6f559858d36b2d4141468b8c5b79d9d3a
Retrieved
May 13, 2026
Evidence locator
Page intro

Academic Integrity

The CITEP/UBA guidance frames ethical AI use as distinguishing legitimate support from improper appropriation and includes source attribution and recognition of AI co-creation.

Review: Agent reviewedConfidence90%

Normalized value: ethical_ai_attribution_and_cocreation_guidance

Last checked
May 13, 2026
Last changed
May 13, 2026

Original evidence

Evidence 1
Es fundamental comprender la diferencia entre el uso legítimo de la IA como herramienta de apoyo y la apropiación indebida del contenido generado con ella. Enseñar el uso ético de esta tecnología debe incluir estrategias para la correcta atribución de fuentes y el reconocimiento de la cocreación con IA. Este enfoque se enmarca en la problemática de la integridad académica y propiedad intelectual.

Localized display only

The guidance connects ethical AI use with avoiding improper appropriation, attributing sources, and recognizing AI co-creation.

Source language
Espanol (es)
Snapshot hash
a7070768f42649a23b93dab100fe8ae6f559858d36b2d4141468b8c5b79d9d3a
Retrieved
May 13, 2026
Evidence locator
Promover el uso ético

Privacy

The CITEP/UBA guidance says AI use in education should consider personal-data protection and digital security, noting that not all AI tools safeguard entered information.

Review: Agent reviewedConfidence90%

Normalized value: ai_tool_selection_personal_data_digital_security

Last checked
May 13, 2026
Last changed
May 13, 2026

Original evidence

Evidence 1
Además de su pertinencia didáctica, el uso de IA en educación debe considerar la protección de datos personales y la seguridad digital. No todas las herramientas de IA garantizan el resguardo de la información ingresada y es necesario elegir opciones confiables y concientizar a los estudiantes sobre los riesgos de compartir información sensible.

Localized display only

The guidance says AI-tool selection should consider personal data protection, digital security, and risks around sensitive information.

Source language
Espanol (es)
Snapshot hash
a7070768f42649a23b93dab100fe8ae6f559858d36b2d4141468b8c5b79d9d3a
Retrieved
May 13, 2026
Evidence locator
Cuidar los criterios de selección

Ai Tool Treatment

The CITEP/UBA guidance recommends making precise classroom rules for AI use explicit and lists possible agreement contents such as permitted uses, restricted/prohibited uses, transparency, and declarations of use.

Review: Agent reviewedConfidence88%

Normalized value: explicit_classroom_ai_use_agreement_guidance

Last checked
May 13, 2026
Last changed
May 13, 2026

Original evidence

Evidence 1
Para integrar efectivamente la IA al aula es fundamental explicitar reglas precisas sobre su uso, asegurando transparencia y responsabilidad académica. Las directrices claras permiten que los estudiantes comprendan los usos apropiados de la IA, cómo aprovecharla para mejorar su aprendizaje y qué límites deben respetar para garantizar la integridad de sus producciones.

Localized display only

The guidance recommends precise classroom AI-use rules so students understand appropriate uses, transparency, and limits.

Source language
Espanol (es)
Snapshot hash
a7070768f42649a23b93dab100fe8ae6f559858d36b2d4141468b8c5b79d9d3a
Retrieved
May 13, 2026
Evidence locator
Acordar el contrato de uso

Teaching

For evaluation contexts, the CITEP/UBA guidance suggests designing activities that assess understanding, argumentation, and application of knowledge, not only technical AI use.

Review: Agent reviewedConfidence88%

Normalized value: ai_evaluation_understanding_argumentation_application

Last checked
May 13, 2026
Last changed
May 13, 2026

Original evidence

Evidence 1
Es fundamental diseñar actividades que, además de medir el uso técnico de la IA, evalúen la comprensión, la argumentación y la capacidad de aplicar el conocimiento en distintos contextos.

Localized display only

The guidance says AI-related evaluation activities should assess understanding, argumentation, and contextual application.

Source language
Espanol (es)
Snapshot hash
a7070768f42649a23b93dab100fe8ae6f559858d36b2d4141468b8c5b79d9d3a
Retrieved
May 13, 2026
Evidence locator
Incluir IA en la evaluación

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

Change log

Last checkedMay 13, 2026Last changedMay 13, 2026Open change log

Corrections

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