Change log

Universidad de Buenos Aires (UBA)

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Change summary

Current public record freshness and review state.

Universidad de Buenos Aires (UBA) currently has 5 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 13, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Universidad de Buenos Aires (UBA). Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

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Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Universidad de Buenos Aires (UBA) combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+10-0
11 # Universidad de Buenos Aires (UBA) AI policy record
2+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.
3+Evidence (es, a7070768f426): 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.
4+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.
5+Evidence (es, a7070768f426): 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.
6+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.
7+Evidence (es, a7070768f426): 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.
8+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.
9+Evidence (es, a7070768f426): 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.
10+teaching: For evaluation contexts, the CITEP/UBA guidance suggests designing activities that assess understanding, argumentation, and application of knowledge, not only technical AI use.
11+Evidence (es, a7070768f426): 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.

Release history

0 public release diffs

Claim changes

5 claim records

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%Evidence1Languageses

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%Evidence1Languageses

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%Evidence1Languageses

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%Evidence1Languageses

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%Evidence1Languageses

Source snapshots

1 source attribution