Policy presence
Universidad de Buenos Aires (UBA) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Buenos Aires, Argentina
Universidad de Buenos Aires (UBA)
Universidad de Buenos Aires (UBA) is listed as QS 2026 rank 84. Universidad de Buenos Aires (UBA) has 5 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.
Short answer
v1 public contract
Universidad de Buenos Aires (UBA) is listed as QS 2026 rank 84. Universidad de Buenos Aires (UBA) has 5 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.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidad de Buenos Aires (UBA) as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 5 source-backed claims, including 5 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-de-buenos-aires.json. The entity-level confidence is 90%. 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.
Policy signals in this record
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
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.
AI disclosure
Universidad de Buenos Aires (UBA) has 5 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad de Buenos Aires (UBA) has 4 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Universidad de Buenos Aires (UBA) has 4 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
Universidad de Buenos Aires (UBA) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: required.
Academic integrity
Universidad de Buenos Aires (UBA) has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Universidad de Buenos Aires (UBA) has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Named AI services
Universidad de Buenos Aires (UBA) has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Universidad de Buenos Aires (UBA) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
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 reviewed
Normalized value: citep_guidance_critical_situated_ai_teaching
Original evidence
Evidence 1La 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.
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 reviewed
Normalized value: ethical_ai_attribution_and_cocreation_guidance
Original evidence
Evidence 1Es 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.
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 reviewed
Normalized value: ai_tool_selection_personal_data_digital_security
Original evidence
Evidence 1Además 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.
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 reviewed
Normalized value: explicit_classroom_ai_use_agreement_guidance
Original evidence
Evidence 1Para 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.
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 reviewed
Normalized value: ai_evaluation_understanding_argumentation_application
Original evidence
Evidence 1Es 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.
Candidate claims
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.
Official sources
1 source attribution
La Brújul-IA: Orientaciones para la integración de la IA en la Educación Superior
observatoriocitep.rec.uba.ar
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.