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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.

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Universidade Federal do Rio de Janeiro currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: 16 mei 2026. No tracker diff rows are recorded in the latest public release.

Deze pagina combineert alle openbare releasediffs voor Universidade Federal do Rio de Janeiro. Individuele releasesnapshots blijven beschikbaar via hun release-specifieke URL's.

Er zijn nog geen beleidverschillen tussen releases geregistreerd voor deze universiteit. De pagina houdt nog steeds bij welke bronnen onderbouwing bieden, officiële bronaanwijzingen, de beoordelingsstatus, de actualiteit van bronnen en openbare JSON voor ontdekking en citatie.

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.

Zojuist geëxtraheerde beweringen zijn toevoegingen aan de tracker en zijn niet per se recent door de universiteit gepubliceerd. Wijzigingen in bron-snapshots tonen hashwijzigingen voor dezelfde bron-URL en zijn op zichzelf geen beleidswijzigingen.

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Gecombineerd releasediff

Geünificeerde trackerdiff gegenereerd vanuit alle openbare releasesnapshots voor deze universiteit.

Universidade Federal do Rio de Janeiro combined release verschil

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.

Geschiedenis releases

0 public release diffs

Aanpassingen claimen

5 Claimen registers

source_status

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

Beoordeling: Door agent beoordeeldVertrouwen90%Bewijs1Talenpt-BR

academic_integrity

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

Beoordeling: Door agent beoordeeldVertrouwen88%Bewijs1Talenpt-BR

ai_tool_treatment

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

Beoordeling: Door agent beoordeeldVertrouwen88%Bewijs1Talenpt-BR

teaching

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

Beoordeling: Door agent beoordeeldVertrouwen86%Bewijs1Talenpt-BR

privacy

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

Beoordeling: Door agent beoordeeldVertrouwen84%Bewijs1Talenpt-BR

Bronsnapshots

2 source attributions