public-release-20260715-005
与 public-release-20260714-002 相比。
Humboldt-Universität zu Berlin public-release-20260715-005 差异
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变更日志
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
当前公共记录的新鲜度与审核状态。
Humboldt-Universität zu Berlin currently has 17 source-backed claim records and 5 official source attributions. Latest tracked changed date: 2026年7月19日. Latest tracker diff: 0 comparable policy-text changes, 9 newly extracted claims, 0 source snapshot changes.
此页面汇总了所有针对的公开版本差异记录 Humboldt-Universität zu Berlin。各个版本的发布快照仍可通过其特定发布的 URL 访问。
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。
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
1 公开发布差异
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17 声明 条记录
HU FDM Assistant is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /dmp is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /vision is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /translate is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /text is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /stt-helper is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /stt is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /doc is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU AI /chat is listed for Humboldt-Universität zu Berlin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
HU Berlin’s recommendations allow examiners to use AI to create exam materials, but say examiners remain responsible for suitability and that sole use of AI to grade exams or study work is prohibited.
For HU employees, the central AI guide says confidential data and non-public research data must not be entered into publicly accessible generative-AI tools, and personal data must be removed or anonymized unless using HU internal CMS AI offerings configured for data protection.
HU Berlin’s exam and study-work AI recommendations are explicitly non-binding; they say AI use is generally allowed, while faculties and examination boards may make subject-specific binding decisions that restrict or prohibit AI use for particular assessments.
HU Berlin says it promotes AI use in research, teaching, and administration, and frames its central generative-AI guide as a living guide that is to be expanded into an AI policy.
HU Berlin’s recommendations advise documenting student AI use so examiners can account for the tool use during assessment, while leaving the concrete documentation requirement to the relevant subject and examination context.
HU Berlin advises that generative-AI tools should be checked for data-protection and IT-security risks before use, and that AI-tool procurement should consider a preliminary review, especially where personal data may be processed.
HU Berlin’s public AI hub describes university-provided data-protection-compliant AI tools based on large language models for research, teaching, and administration, plus HPC@HU for research and a JupyterHub for digital teaching and learning.
HU Berlin’s good-scientific-practice AI page is an official source index for AI in teaching and research, linking the central AI tools, AI guide, and the AI-in-assessments recommendations.
5 source attributions
official_guidance Tracker checked at 2026年7月16日 01:22
official_guidance Tracker checked at 2026年5月14日 13:27
official_guidance Tracker checked at 2026年5月14日 13:27
official_guidance Tracker checked at 2026年5月14日 13:27
official_policy_page Tracker checked at 2026年5月14日 13:27