Rio de Janeiro, Brazil

Universidade Federal do Rio de Janeiro

Last checkedMay 16, 2026Last changedMay 16, 2026Review: Agent reviewedConfidence90%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2Source languagept-BRPublic JSON/api/public/v1/universities/universidade-federal-do-rio-de-janeiro.json

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence74%

Policy presence

Universidade Federal do Rio de Janeiro has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence75%Evidence3Sources1

Claim claim-ufrj-ai-documents-preliminary Claim claim-ufrj-ai-delegated-thesis-dishonesty Claim claim-ufrj-ai-human-responsibility

AI disclosure

Universidade Federal do Rio de Janeiro has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Claim claim-ufrj-ai-documents-preliminary

Coursework

Universidade Federal do Rio de Janeiro has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence74%Evidence3Sources2

Claim claim-ufrj-ai-delegated-thesis-dishonesty Claim claim-ufrj-ai-human-responsibility Claim claim-ufrj-faculty-ai-rules

Exams

Universidade Federal do Rio de Janeiro has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence74%Evidence3Sources2

Claim claim-ufrj-ai-delegated-thesis-dishonesty Claim claim-ufrj-ai-human-responsibility Claim claim-ufrj-faculty-ai-rules

Privacy and data entry

Universidade Federal do Rio de Janeiro has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1

Claim claim-ufrj-ai-confidential-data-risk

Academic integrity

Universidade Federal do Rio de Janeiro has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence76%Evidence2Sources1

Claim claim-ufrj-ai-documents-preliminary Claim claim-ufrj-ai-delegated-thesis-dishonesty

Approved tools

Universidade Federal do Rio de Janeiro has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1

Claim claim-ufrj-ai-human-responsibility

Named AI services

Universidade Federal do Rio de Janeiro has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence73%Evidence2Sources2

Claim claim-ufrj-ai-human-responsibility Claim claim-ufrj-ai-confidential-data-risk

Teaching guidance

Universidade Federal do Rio de Janeiro has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Claim claim-ufrj-faculty-ai-rules

Research guidance

Universidade Federal do Rio de Janeiro has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1

Claim claim-ufrj-ai-confidential-data-risk

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

5 reviewed evidence-backed public claim

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.
Source: UFRJ atualiza diretrizes de integridade acadêmica e propõe recomendações sobre o uso de inteligência artificial

Localized display only

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

Source language: pt-BR
Snapshot hash: 73070f3a33a51776dbf95a8d56d90b371ece8cf1de8457a779562ddbcae57dd2
Retrieved: May 16, 2026
Evidence locator: Conexão UFRJ article body

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.
Source: UFRJ atualiza diretrizes de integridade acadêmica e propõe recomendações sobre o uso de inteligência artificial

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: 73070f3a33a51776dbf95a8d56d90b371ece8cf1de8457a779562ddbcae57dd2
Retrieved: May 16, 2026
Evidence locator: Conexão UFRJ article body

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.
Source: UFRJ atualiza diretrizes de integridade acadêmica e propõe recomendações sobre o uso de inteligência artificial

Localized display only

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

Source language: pt-BR
Snapshot hash: 73070f3a33a51776dbf95a8d56d90b371ece8cf1de8457a779562ddbcae57dd2
Retrieved: May 16, 2026
Evidence locator: Conexão UFRJ article body

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.
Source: Recomendações à Reitoria sobre o Uso da Inteligência Artificial na UFRJ

Localized display only

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

Source language: pt-BR
Snapshot hash: d18f8d0c744936bed59c7c4b87c292f34b408f96c3224be728c2990f63a5ecca
Retrieved: May 16, 2026
Evidence locator: CRIA/UFRJ recommendations PDF, section 2.2

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.
Source: Recomendações à Reitoria sobre o Uso da Inteligência Artificial na UFRJ

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: d18f8d0c744936bed59c7c4b87c292f34b408f96c3224be728c2990f63a5ecca
Retrieved: May 16, 2026
Evidence locator: CRIA/UFRJ recommendations PDF, section 2.2

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Recomendações à Reitoria sobre o Uso da Inteligência Artificial na UFRJ

drive.google.com

Source URL: https://drive.google.com/file/d/1URmmGBDwR5vKudskAzrUKZWHll16j5p1/view?usp=sharing
Snapshot hash: d18f8d0c744936bed59c7c4b87c292f34b408f96c3224be728c2990f63a5ecca

UFRJ atualiza diretrizes de integridade acadêmica e propõe recomendações sobre o uso de inteligência artificial

conexao.ufrj.br

Source URL: https://conexao.ufrj.br/2026/03/ufrj-atualiza-diretrizes-de-integridade-academica-e-propoe-recomendacoes-sobre-o-uso-de-inteligencia-artificial/
Snapshot hash: 73070f3a33a51776dbf95a8d56d90b371ece8cf1de8457a779562ddbcae57dd2

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

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Back to universities

Universidade Federal do Rio de Janeiro

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

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

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

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

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

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

Candidate claims

Official sources

Recomendações à Reitoria sobre o Uso da Inteligência Artificial na UFRJ

UFRJ atualiza diretrizes de integridade acadêmica e propõe recomendações sobre o uso de inteligência artificial

Change log

Corrections