University AI Policy Tracker
APIGitHub
Language
ENZHFRPL

Rio de Janeiro, Brazil

Universidade Federal do Rio de Janeiro

RankingQS World University Rankings 2026: =317UpdatedMay 16, 2026

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Reviewed record

Reviewed claims

5 reviewed claims

Source Status

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

Review: Agent reviewedConfidence90%
Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
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.

Source language
pt-BR
Snapshot hash
73070f3a…
Retrieved
May 16, 2026
Evidence locator
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.

Review: Agent reviewedConfidence88%
Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
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.

Localized display only

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

Source language
pt-BR
Snapshot hash
73070f3a…
Retrieved
May 16, 2026
Evidence locator
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.

Review: Agent reviewedConfidence88%
Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 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.

Localized display only

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

Source language
pt-BR
Snapshot hash
73070f3a…
Retrieved
May 16, 2026
Evidence locator
Conexão UFRJ article body

Teaching

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

Review: Agent reviewedConfidence86%
Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
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.

Source language
pt-BR
Snapshot hash
d18f8d0c…
Retrieved
May 16, 2026
Evidence locator
CRIA/UFRJ recommendations PDF, section 2.2

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%
Last checked
May 16, 2026
Last changed
May 16, 2026

Original evidence

Evidence 1
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.

Localized display only

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

Source language
pt-BR
Snapshot hash
d18f8d0c…
Retrieved
May 16, 2026
Evidence locator
CRIA/UFRJ recommendations PDF, section 2.2

Source record

Official sources

2 sources

Record information, JSON & citation
Reviewagent reviewedConfidence90%Snapshot statusNot publishedJSONPublic JSON

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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