Montevideo, Uruguay

Universidad de la República (Udelar)

Last checkedMay 18, 2026Last changedMay 18, 2026Review: Agent reviewedConfidence90%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2Source languageesPublic JSON/api/public/v1/universities/universidad-de-la-republica-udelar.json

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

Policy presence

Universidad de la República (Udelar) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence75%Evidence1Sources1

Claim claim-udelar-fing-ai-guide-approved

AI disclosure

Universidad de la República (Udelar) has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence2Sources1

Claim claim-udelar-fing-ai-declaration Claim claim-udelar-fing-ai-transparency

Coursework

Universidad de la República (Udelar) has 5 source-backed public claims for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence5Sources2

Claim claim-udelar-fing-ai-declaration Claim claim-udelar-fing-ai-transparency Claim claim-udelar-fing-ai-guide-approved

Exams

Universidad de la República (Udelar) has 4 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence4Sources1

Claim claim-udelar-fing-ai-declaration Claim claim-udelar-fing-ai-transparency Claim claim-udelar-fing-ai-evaluation-categories

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

Universidad de la República (Udelar) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence2Sources1

Claim claim-udelar-fing-ai-declaration Claim claim-udelar-fing-ai-detection

Approved tools

Universidad de la República (Udelar) has 2 source-backed public claims for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence76%Evidence2Sources2

Claim claim-udelar-fing-ai-transparency Claim claim-udelar-fing-ai-guide-approved

Named AI services

Universidad de la República (Udelar) has 1 source-backed public claim for named ai services; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Claim claim-udelar-fing-ai-transparency

Teaching guidance

Universidad de la República (Udelar) has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence5Sources2

Claim claim-udelar-fing-ai-declaration Claim claim-udelar-fing-ai-transparency Claim claim-udelar-fing-ai-guide-approved

Research guidance

Universidad de la República (Udelar) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Claim claim-udelar-fing-ai-detection

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

Derived tool records1

AI tools

Universidad de la República (Udelar)

Tool: AI tools
About: Not specified
Access: Not specified
Cost: Not specified
Availability: Allowed
Review: Agent reviewed
Sources: Source 1 Source 2

Evidence-backed claims

5 reviewed evidence-backed public claim

Normalized value: transparent_declared_ai_use

Last checked: May 18, 2026
Last changed: May 18, 2026

Original evidence

Evidence 1

Transparencia: 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.
Source: Guía para el uso ético y crítico de inteligencia artificial en las unidades curriculares de Facultad de Ingeniería

Localized display only

AI tool use should be transparent and recognized, with permitted uses and declaration methods explained.

Source language: Espanol (es)
Snapshot hash: 47a1121ee596c14dfaa18a107888af64c114a66f9bdaa997d353c3d3b9ebe6fe
Retrieved: May 18, 2026
Evidence locator: Section 2, Principios generales

Normalized value: declare_significant_ai_contributions

Last checked: May 18, 2026
Last changed: May 18, 2026

Original evidence

Evidence 1

Siempre 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.
Source: Guía para el uso ético y crítico de inteligencia artificial en las unidades curriculares de Facultad de Ingeniería

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 language: Espanol (es)
Snapshot hash: 47a1121ee596c14dfaa18a107888af64c114a66f9bdaa997d353c3d3b9ebe6fe
Retrieved: May 18, 2026
Evidence locator: Section 4, Declaración del uso de IA

Normalized value: faculty_of_engineering_ai_guide_formally_approved

Last checked: May 18, 2026
Last changed: May 18, 2026

Original evidence

Evidence 1

Posteriormente, 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.
Source: La Facultad de Ingeniería aprobó su "Guía para el uso ético y crítico de Inteligencia Artificial"

Localized display only

The Faculty of Engineering Council formally approved the guide on February 10, 2026.

Source language: Espanol (es)
Snapshot hash: 199ca16e2465db855e8f5eda55bcc1105af908e1626582016f026d5e9c3e138f
Retrieved: May 18, 2026
Evidence locator: Announcement body

Normalized value: non_prescriptive_ai_use_categories

Last checked: May 18, 2026
Last changed: May 18, 2026

Original evidence

Evidence 1

A 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.
Source: Guía para el uso ético y crítico de inteligencia artificial en las unidades curriculares de Facultad de Ingeniería

Localized display only

The guide gives an orienting, non-prescriptive classification for AI use by course or assessment context.

Source language: Espanol (es)
Snapshot hash: 47a1121ee596c14dfaa18a107888af64c114a66f9bdaa997d353c3d3b9ebe6fe
Retrieved: May 18, 2026
Evidence locator: Section 3, Clasificación de los diferentes usos de la IA

Normalized value: ai_detection_limited_manual_review_preferred

Last checked: May 18, 2026
Last changed: May 18, 2026

Original evidence

Evidence 1

Mecanismos 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.
Source: Guía para el uso ético y crítico de inteligencia artificial en las unidades curriculares de Facultad de Ingeniería

Localized display only

The guide treats AI-detection tools as very limited and points to manual review and technical interviews as effective checks.

Source language: Espanol (es)
Snapshot hash: 47a1121ee596c14dfaa18a107888af64c114a66f9bdaa997d353c3d3b9ebe6fe
Retrieved: May 18, 2026
Evidence locator: Section 5, Mecanismos de supervisión

Candidate claims

0 machine or needs-review claim

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

Source URL: https://www.fing.edu.uy/sites/default/files/2026-02/guia-de-etica-fing_2026.pdf
Snapshot hash: 47a1121ee596c14dfaa18a107888af64c114a66f9bdaa997d353c3d3b9ebe6fe

La Facultad de Ingeniería aprobó su "Guía para el uso ético y crítico de Inteligencia Artificial"

fing.edu.uy

Source URL: https://www.fing.edu.uy/es/node/52539
Snapshot hash: 199ca16e2465db855e8f5eda55bcc1105af908e1626582016f026d5e9c3e138f

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

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Back to universities

Universidad de la República (Udelar)

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

AI tools

Evidence-backed claims

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.

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.

Udelar's Faculty of Engineering formally approved a faculty-scoped guide for ethical and critical AI use in its curricular units.

The Faculty of Engineering guide provides non-prescriptive categories for reduced, moderate, and extensive AI use in curricular units and assessments.

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.

Candidate claims

Official sources

Guía para el uso ético y crítico de inteligencia artificial en las unidades curriculares de Facultad de Ingeniería

La Facultad de Ingeniería aprobó su "Guía para el uso ético y crítico de Inteligencia Artificial"

Change log

Corrections