University AI Policy Tracker
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Rio de Janeiro, Brazil

Universidade Federal do Rio de Janeiro

PenarafanQS World University Rankings 2026: =317Updated16 Mei 2026

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

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Terakhir diperiksa
16 Mei 2026
Terkini diubah
16 Mei 2026

Bukti asal

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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.

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The university announced two preliminary documents guiding ethical and responsible AI use in teaching and research.

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16 Mei 2026
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Conexão UFRJ article body

Academic Integrity

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

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Terakhir diperiksa
16 Mei 2026
Terkini diubah
16 Mei 2026

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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.

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Delegating academic works to generative AI is described as academic dishonesty and may lead to institutional sanctions under the proposed document.

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16 Mei 2026
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Conexão UFRJ article body

Ai Tool Treatment

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

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Terakhir diperiksa
16 Mei 2026
Terkini diubah
16 Mei 2026

Bukti asal

Bukti 1
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.

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Generative AI may assist preparation and organization, but final responsibility remains with human authorship.

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16 Mei 2026
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Conexão UFRJ article body

Pengajaran

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

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Terakhir diperiksa
16 Mei 2026
Terkini diubah
16 Mei 2026

Bukti asal

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Cada professor deve definir claramente, no plano de ensino da sua disciplina, o que constitui uso aceitável e inaceitável de ferramentas de IAG.

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Each professor should define acceptable and unacceptable IAG uses in the discipline teaching plan.

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Diperoleh
16 Mei 2026
Penjejak bukti
CRIA/UFRJ recommendations PDF, section 2.2

Privasi

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

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Terakhir diperiksa
16 Mei 2026
Terkini diubah
16 Mei 2026

Bukti asal

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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.

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Researchers should be warned about uploading or processing confidential or proprietary third-party data through IAG tools.

Bahasa sumber
pt-BR
Hash petikan
d18f8d0c…
Diperoleh
16 Mei 2026
Penjejak bukti
CRIA/UFRJ recommendations PDF, section 2.2

Source record

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Record information, JSON & citation
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Citation: University AI Policy Tracker. "Universidade Federal do Rio de Janeiro AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/universidade-federal-do-rio-de-janeiro

Original university source language remains canonical. This tracker is not an official university statement.

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