Policy presence
Universidad de la República (Udelar) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Montevideo, Uruguay
Universidad de la República (Udelar)
Universidad de la República (Udelar) has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.
Universidad de la República (Udelar) AI policy short answer
v1 public contract
Universidad de la República (Udelar) has 5 source-backed AI policy claims from 2 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: Universidad de la República (Udelar) is listed as QS 2026 rank =650.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidad de la República (Udelar) as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-de-la-republica-udelar.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 AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Source status claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related 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 la República (Udelar) has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad de la República (Udelar) has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universidad de la República (Udelar) has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Universidad de la República (Udelar) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Universidad de la República (Udelar) has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universidad de la República (Udelar) has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
Universidad de la República (Udelar) has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universidad de la República (Udelar) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
Ai Tool Treatment
The Faculty of Engineering guide says AI tool use should be transparent and recognized, including explaining permitted uses and how to declare tool use in submitted work.
Review: Agent reviewed
Normalized value: transparent_declared_ai_use
Original evidence
Evidence 1Transparencia: El uso de herramientas de IA debe ser transparente y debidamente reconocido. Entre las medidas para aumentar la transparencia se encuentran: Discutir en clase el uso de la IA en la unidad curricular. No ignorar la existencia de estas herramientas ni su posible uso por parte de los estudiantes. Explicar qué usos están permitidos y cómo declarar el uso de la herramienta en los trabajos entregables.
Localized display only
AI tool use should be transparent and recognized, with permitted uses and declaration methods explained.
Academic Integrity
The Faculty of Engineering guide says significant AI-contributed content should be declared, and presenting AI-generated content as one's own may be treated as a violation under the faculty's current regulations.
Review: Agent reviewed
Normalized value: declare_significant_ai_contributions
Original evidence
Evidence 1Siempre que se utilicen herramientas de IA que aporten contenido significativo, se debe declarar la herramienta utilizada y cómo se integró la IA en el trabajo. Atribuirse la autoría de contenido generado por herramientas de IA podrá considerarse una falta a las reglamentaciones vigentes de la Facultad de Ingeniería, con las implicaciones y sanciones que ello conlleva, según la gravedad.
Localized display only
Significant AI-contributed content should be declared; presenting AI-generated content as one's own may be treated as a violation under faculty rules.
Source Status
Udelar's Faculty of Engineering formally approved a faculty-scoped guide for ethical and critical AI use in its curricular units.
Review: Agent reviewed
Normalized value: faculty_of_engineering_ai_guide_formally_approved
Original evidence
Evidence 1Posteriormente, el Consejo de la Facultad de Ingeniería, en sesión ordinaria del 10 de febrero de 2026, aprobó formalmente la Guía para el Uso Ético y Crítico de Inteligencia Artificial en las Unidades Curriculares de Fing.
Localized display only
The Faculty of Engineering Council formally approved the guide on February 10, 2026.
Teaching
The Faculty of Engineering guide provides non-prescriptive categories for reduced, moderate, and extensive AI use in curricular units and assessments.
Review: Agent reviewed
Normalized value: non_prescriptive_ai_use_categories
Original evidence
Evidence 1A continuación, se ofrece una posible clasificación de las UC y el uso de la IA recomendado para cada categoría. El objetivo es proporcionar un marco de referencia al que adaptarse para decidir los criterios apropiados para cada UC. ... esta clasificación es orientativa y no prescriptiva: cada equipo docente puede ajustar el nivel de integración de IA según los objetivos específicos de su curso o de cada evaluación dentro de un mismo curso.
Localized display only
The guide gives an orienting, non-prescriptive classification for AI use by course or assessment context.
Teaching
The Faculty of Engineering guide warns that AI-detection tools have very limited effectiveness and identifies manual review and technical interviews as effective methods for checking understanding and authorship.
Review: Agent reviewed
Normalized value: ai_detection_limited_manual_review_preferred
Original evidence
Evidence 1Mecanismos de supervisión: Las herramientas de detección de uso de IA tienen una efectividad muy limitada. ... La revisión manual y las entrevistas técnicas (defensas) son métodos eficaces para evaluar la comprensión y la autoría de los trabajos presentados por estudiantes.
Localized display only
The guide treats AI-detection tools as very limited and points to manual review and technical interviews as effective checks.
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
2 source attribution
Guía para el uso ético y crítico de inteligencia artificial en las unidades curriculares de Facultad de Ingeniería
fing.edu.uy
La Facultad de Ingeniería aprobó su "Guía para el uso ético y crítico de Inteligencia Artificial"
fing.edu.uy
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.