Change log

Universidad de la República (Udelar)

Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Change summary

Current public record freshness and review state.

Universidad de la República (Udelar) currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 18, 2026. No tracker diff rows are recorded in the latest public release.

This tracker 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.

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

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Release diff

Unified tracker diff generated from the previous and current public release snapshots.

No tracker claim/evidence/source changes are recorded for this university in the latest public release.

Claim changes

5 claim records

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 reviewedConfidence90%Evidence1Languageses

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 reviewedConfidence90%Evidence1Languageses

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 reviewedConfidence88%Evidence1Languageses

teaching

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

Review: Agent reviewedConfidence87%Evidence1Languageses

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 reviewedConfidence86%Evidence1Languageses

Source snapshots

2 source attributions

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

official_guidance Tracker checked at May 18, 2026, 12:40 AM

Snapshot hash
199ca16e2465db855e8f5eda55bcc1105af908e1626582016f026d5e9c3e138f