Change log

Universidade Federal do Rio de Janeiro

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.

Universidade Federal do Rio de Janeiro currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 16, 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

source_status

UFRJ publicly announced preliminary documents on academic integrity and AI-use recommendations for the academic community.

Review: Agent reviewedConfidence90%Evidence1Languagespt-BR

academic_integrity

UFRJ states that delegating monographs, dissertations, and theses to generative AI systems is considered academic dishonesty under the proposed integrity guidance.

Review: Agent reviewedConfidence88%Evidence1Languagespt-BR

ai_tool_treatment

UFRJ guidance allows generative AI to assist preparation and development of academic work, while keeping final responsibility with human authors.

Review: Agent reviewedConfidence88%Evidence1Languagespt-BR

teaching

CRIA/UFRJ recommends that instructors define acceptable and unacceptable generative AI uses in their course teaching plans.

Review: Agent reviewedConfidence86%Evidence1Languagespt-BR

privacy

CRIA/UFRJ recommends warning researchers about risks of uploading or processing confidential or proprietary third-party data through generative AI tools.

Review: Agent reviewedConfidence84%Evidence1Languagespt-BR

Source snapshots

2 source attributions

Universidade Federal do Rio de Janeiro AI Policy Tracker Release Diff | University AI Policy Tracker