public-release-20260715-005
Compared with public-release-20260714-002.
Humboldt-Universität zu Berlin public-release-20260715-005 diff
Comparing public-release-20260714-002 to public-release-20260715-005.
Change log
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Current public record freshness and review state.
Humboldt-Universität zu Berlin currently has 17 source-backed claim records and 5 official source attributions. Latest tracked changed date: Jul 18, 2026. Latest tracker diff: 0 comparable policy-text changes, 9 newly extracted claims, 0 source snapshot changes.
This page combines all public release diffs for Humboldt-Universität zu Berlin. Individual release snapshots remain available from their release-specific URLs.
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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Semantic classification for this release diff.
Unified tracker diff generated from all public release snapshots for this university.
Comparing public-release-20260714-002 to public-release-20260715-005.
1 public release diff
Compared with public-release-20260714-002.
Comparing public-release-20260714-002 to public-release-20260715-005.
17 claim records
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 Jul 16, 2026, 1:22 AM
official_guidance Tracker checked at May 14, 2026, 1:27 PM
official_guidance Tracker checked at May 14, 2026, 1:27 PM
official_guidance Tracker checked at May 14, 2026, 1:27 PM
official_policy_page Tracker checked at May 14, 2026, 1:27 PM