source_status
UFRJ publicly announced preliminary documents on academic integrity and AI-use recommendations for the academic community.
Review: Agent reviewed
Change log
Universidade Federal do Rio de Janeiro
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
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 page combines all public release diffs for Universidade Federal do Rio de Janeiro. Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
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
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Combined release diff
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Universidade Federal do Rio de Janeiro combined release diff
Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.
+10-0
11 # Universidade Federal do Rio de Janeiro AI policy record
2+source_status: UFRJ publicly announced preliminary documents on academic integrity and AI-use recommendations for the academic community.
3+Evidence (pt-BR, 73070f3a33a5): A Universidade Federal do Rio de Janeiro (UFRJ) tornou público dois documentos preliminares que orientam a comunidade acadêmica sobre o uso ético e responsável da inteligência artificial, em especial nas atividades de ensino e pesquisa.
4+academic_integrity: UFRJ states that delegating monographs, dissertations, and theses to generative AI systems is considered academic dishonesty under the proposed integrity guidance.
5+Evidence (pt-BR, 73070f3a33a5): Simplesmente delegar a responsabilidade de elaboração desses trabalhos a terceiros ou a sistemas de Inteligência Artificial Generativa (IAGen) é considerado desonestidade acadêmica e pode resultar em sanções institucionais, inclusive a perda do título, de acordo com a proposta do documento.
6+ai_tool_treatment: UFRJ guidance allows generative AI to assist preparation and development of academic work, while keeping final responsibility with human authors.
7+Evidence (pt-BR, 73070f3a33a5): As diretrizes também destacam que o uso de ferramentas de IAGen pode auxiliar na preparação e elaboração desses trabalhos, incluindo exploração de temas de pesquisa e organização de ideias, mas a responsabilidade final sobre o conteúdo produzido deve permanecer vinculada à autoria humana.
8+teaching: CRIA/UFRJ recommends that instructors define acceptable and unacceptable generative AI uses in their course teaching plans.
9+Evidence (pt-BR, d18f8d0c7449): Cada professor deve definir claramente, no plano de ensino da sua disciplina, o que constitui uso aceitável e inaceitável de ferramentas de IAG.
10+privacy: CRIA/UFRJ recommends warning researchers about risks of uploading or processing confidential or proprietary third-party data through generative AI tools.
11+Evidence (pt-BR, d18f8d0c7449): Pesquisadores devem ser alertados sobre os riscos de se fazer upload e/ou processar dados/programas confidenciais ou proprietários de terceiros por meio de ferramentas de IAG, pois esses dados poderão ser incorporados no treinamentos futuros de ferramentas.
Release history
0 public release diffs
Claim changes
5 claim records
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 reviewed
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 reviewed
teaching
CRIA/UFRJ recommends that instructors define acceptable and unacceptable generative AI uses in their course teaching plans.
Review: Agent reviewed
privacy
CRIA/UFRJ recommends warning researchers about risks of uploading or processing confidential or proprietary third-party data through generative AI tools.
Review: Agent reviewed
Source snapshots
2 source attributions
Recomendações à Reitoria sobre o Uso da Inteligência Artificial na UFRJ
official_pdf Tracker checked at May 16, 2026, 5:33 AM
UFRJ atualiza diretrizes de integridade acadêmica e propõe recomendações sobre o uso de inteligência artificial
official_guidance Tracker checked at May 16, 2026, 5:30 AM