变更日志

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.

变更摘要

当前公共记录的新鲜度与审核状态。

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

此页面汇总了所有针对的公开版本差异记录 Universidade Federal do Rio de Janeiro。各个版本的发布快照仍可通过其特定发布的 URL 访问。

目前尚未记录该大学的版本间策略差异行。页面仍会追踪当前基于来源的主张、官方来源归属、审核状态、来源时效性以及用于发现和引用的公开JSON。

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.

新提取的主张是追踪器的新增项,不一定是大学新发布的。来源快照变更显示了同一来源 URL 的哈希值变化,这本身并不代表政策发生了变化。

差异类别

此版本差异的语义分类。

政策文本0新提取的0证据0源快照0源文本0已添加来源0已移除来源0

组合版本差异

由该大学的所有公开发布快照生成的统一追踪器差异。

Universidade Federal do Rio de Janeiro combined release 差异

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.

版本历史

0 public release diffs

声明变更

5 声明 条记录

source_status

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

审核: 智能体已审核置信度90%证据1语言pt-BR

academic_integrity

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

审核: 智能体已审核置信度88%证据1语言pt-BR

ai_tool_treatment

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

审核: 智能体已审核置信度88%证据1语言pt-BR

teaching

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

审核: 智能体已审核置信度86%证据1语言pt-BR

privacy

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

审核: 智能体已审核置信度84%证据1语言pt-BR

源快照

2 source attributions