Montevideo, Uruguay

Universidad de Montevideo (UM)

Universidad de Montevideo (UM) has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 20, 2026.

Universidad de Montevideo (UM) AI policy short answer

v1 public contract

Universidad de Montevideo (UM) has 2 source-backed AI policy claims from 2 official source attributions, including 2 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 20, 2026. Discovery context: Universidad de Montevideo (UM) is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Universidad de Montevideo (UM) as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 2 source-backed claims, including 2 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-montevideo-um.json. The entity-level confidence is 82%. 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.

Claim coverage2 reviewedSource languageesPublic JSON/api/public/v1/universities/universidad-de-montevideo-um.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Source status claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2

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.

Coverage score50/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence68%

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.

Policy presence

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

UnclearMachine candidateConfidence66%Evidence1Sources1

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

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

2 reviewed evidence-backed public claim

Academic Integrity

Universidad de Montevideo's student regulation lists simulation, deception, plagiarism, or other disloyalty in written or oral evaluations as serious conduct that may be sanctioned.

Review: Agent reviewedConfidence82%

Normalized value: general evaluation misconduct may be sanctioned

Original evidence

Evidence 1
Manifestaciones que se consideran graves y son pasibles de sanción: ... La sustitución de personas; La simulación, el engaño, el plagio o cualquier otra manifestación de deslealtad que se advierta en las formas de evaluación, sean éstas escritas u orales.

Localized display only

The student regulation lists impersonation, simulation, deception, plagiarism, or other disloyalty in written or oral evaluation formats as serious conduct that may be sanctioned.

Source Status

Universidad de Montevideo's official CDID page lists 2026 Club de Profesores teacher-development sessions on course design in the AI era and evaluative creativity in relation to AI.

Review: Agent reviewedConfidence78%

Normalized value: CDID page lists teacher-development AI topics for 2026

Original evidence

Evidence 1
Calendario resumen Encuentro Fecha Hora Lugar Tema Inscripción 1.º 28/04/2026 12:30 - 14:00 Sede LATU El diseño de mi curso en la era IA Ya realizado 3.º 28/07/2026 12:30 - 14:00 Sede LATU Desafío evaluativo: creatividad frente a la IA

Localized display only

The CDID calendar lists 2026 teacher-development sessions titled course design in the AI era and evaluative challenge: creativity in relation to AI.

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

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.

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

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.

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