research
For health research publications, the Faculty of Medicine guide suggests declaring the type, timing and purpose of AI use, never attributing authorship to an AI tool, and validating AI-assisted production through human authors.
变更日志
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.
当前公共记录的新鲜度与审核状态。
Universidad de Chile currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: 2026年5月15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 Universidad de Chile。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。
此版本差异的语义分类。
由该大学的所有公开发布快照生成的统一追踪器差异。
Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.
0 public release diffs
5 声明 条记录
For health research publications, the Faculty of Medicine guide suggests declaring the type, timing and purpose of AI use, never attributing authorship to an AI tool, and validating AI-assisted production through human authors.
The Faculty of Medicine guide proposes five principles for AI initiatives in that faculty: transparency and traceability, human supervision and non-delegation of critical judgment, equity and technological justice, academic integrity and responsible authorship, and participatory governance with continuous updating.
The Faculty of Medicine's Humanizar la Inteligencia document describes itself as an orienting guide and not as binding regulation.
The FCFM guidance warns teaching teams that inadequate use of generative AI can create ethics risks such as plagiarism and copyright issues, and security/privacy risks such as insufficient data protection or data use without consent.
The FCFM guidance recommends that course teaching teams build a transparency policy with students around possible generative AI uses, including defining when and how the AI tool used should be cited.
2 source attributions
official_pdf Tracker checked at 2026年5月15日 04:04
official_pdf Tracker checked at 2026年5月15日 04:04