teaching
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.
Review: Agent reviewed
Change log
Humboldt-Universität zu Berlin
Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Change summary
Current public record freshness and review state.
Humboldt-Universität zu Berlin currently has 8 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 14, 2026. No tracker diff rows are recorded in the latest public release.
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.
Diff categories
Semantic classification for this release diff.
Release diff
Unified tracker diff generated from the previous and current public release snapshots.
No tracker claim/evidence/source changes are recorded for this university in the latest public release.
Claim changes
8 claim records
privacy
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.
Review: Agent reviewed
academic_integrity
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.
Review: Agent reviewed
ai_tool_treatment
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.
Review: Agent reviewed
academic_integrity
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.
Review: Agent reviewed
procurement
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.
Review: Agent reviewed
ai_tool_treatment
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.
Review: Agent reviewed
source_status
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.
Review: Agent reviewed
Source snapshots
4 source attributions
Empfehlungen zu KI in Forschung und Lehre
official_guidance Tracker checked at May 14, 2026, 1:27 PM
Empfehlungen zur Nutzung von Künstlicher Intelligenz in Studienleistungen und Prüfungen an der Humboldt-Universität zu Berlin
official_guidance Tracker checked at May 14, 2026, 1:27 PM
KI an der HU Berlin
official_guidance Tracker checked at May 14, 2026, 1:27 PM
Leitfaden zum Einsatz von generativen KI-Werkzeugen in Forschung, Lehre und Verwaltung an der Humboldt-Universität zu Berlin
official_policy_page Tracker checked at May 14, 2026, 1:27 PM