Policy presence
Universität Heidelberg has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Heidelberg, Germany
Universität Heidelberg
Universität Heidelberg is listed as QS 2026 rank 80. Universität Heidelberg has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universität Heidelberg is listed as QS 2026 rank 80. Universität Heidelberg has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universität Heidelberg as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universitat-heidelberg.json. The entity-level confidence is 93%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Named AI services detected in public claims: ChatGPT.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Universität Heidelberg has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universität Heidelberg has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Universität Heidelberg has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Universität Heidelberg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universität Heidelberg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Universität Heidelberg has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universität Heidelberg has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universität Heidelberg has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universität Heidelberg has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
6 reviewed evidence-backed public claim
Academic Integrity
For study work, Heidelberg University requires students to submit an independence and AI-use declaration that discloses AI tool use and includes an overview of the tools used and their purposes.
Review: Agent reviewed
Normalized value: ai_use_disclosure_required_for_study_work
Original evidence
Evidence 1Studierende müssen für alle Studienarbeiten eine Eigenständigkeits- und Kennzeichnungserklärung abgeben, die den Einsatz von KI-Werkzeugen offenlegt. Diese Kennzeichnungspflicht gilt für Text/Textteile, Bilder, Videos und Musikstücke sowie alle anderen Elemente, für deren Erstellung KI verwendet wurde. Eine Übersicht der genutzten KI-Tools und deren Verwendungszweck ist verpflichtend.
Localized display only
Students must submit an independence and AI-use declaration for study work, and the overview of AI tools used and their purposes is mandatory.
Ai Tool Treatment
For study and teaching at Heidelberg University, AI and language models such as ChatGPT or DeepL are generally allowed only within rules set by examiners or instructors, and the independent character of the student's work must be preserved.
Review: Agent reviewed
Normalized value: generally_allowed_with_examiner_or_instructor_rules
Original evidence
Evidence 1Die Nutzung von KI und Sprachmodellen (LLMs) wie ChatGPT, DeepL oder anderen Werkzeugen ist im Studium und in der Lehre an der UHD grundsätzlich erlaubt. Die spezifische Anwendung muss mit den Prüfer:innen und Lehrenden abgestimmt werden. Zentral ist, dass ein eigenständiger Charakter der Leistung gewahrt bleibt.
Localized display only
Use of AI and language models is generally allowed in study and teaching, but specific use must be coordinated with examiners/instructors and independent work must remain intact.
Privacy
Heidelberg University's AI guideline advises instructors and students not to enter sensitive, personal, confidential, or copyrighted text into AI systems that could store or process it outside Heidelberg University infrastructure.
Review: Agent reviewed
Normalized value: avoid_sensitive_personal_confidential_or_copyrighted_text_in_external_ai_systems
Original evidence
Evidence 1Lehrende und Studierende sollten bei der Nutzung von KI darauf achten, dass keine sensiblen, personenbezogenen oder vertraulichen Daten sowie urheberrechtlich geschützte Texte/Textteile in KI-Systeme eingegeben werden, die diese Daten außerhalb der Infrastruktur der Universität Heidelberg speichern oder verarbeiten könnten.
Localized display only
Instructors and students should avoid entering sensitive, personal, confidential, or copyrighted text into AI systems that could store or process it outside Heidelberg University infrastructure.
Teaching
The Heidelberg AI guideline says instructors are asked to design AI use according to learning goals and inform students about permitted and prohibited AI applications.
Review: Agent reviewed
Normalized value: instructors_should_align_ai_use_with_learning_goals_and_communicate_allowed_uses
Original evidence
Evidence 1Lehrende sind dazu angehalten, den KI-Einsatz entsprechend den Lernzielen zu gestalten und die Studierenden über erlaubte und unerlaubte Anwendungen zu informieren.
Localized display only
The guideline asks instructors to shape AI use according to learning goals and inform students about allowed and prohibited uses.
Research
For doctoral dissertations, Heidelberg Graduate Academy guidance requires AI tool use to be disclosed with when, where, why, and to what extent it was used, and treats AI tools as assistive instruments rather than substitutes for independent intellectual work.
Review: Agent reviewed
Normalized value: doctoral_ai_use_requires_disclosure_and_remains_assistive
Original evidence
Evidence 1The use of AI tools must be explicitly disclosed, specifying when, where, why, and to what extent they were employed in the preparation of the dissertation. AI tools must be used as assistive instruments, not as substitutes for independent intellectual work, critical thinking, or scholarly judgment.
Localized display only
Doctoral AI use must be disclosed with when, where, why, and extent, and AI tools are assistive instruments rather than substitutes for independent scholarly work.
Ai Tool Treatment
Heidelberg University's computing centre says it develops and hosts its own AI infrastructure and provides the YoKI platform so university members can choose among several large language models.
Review: Agent reviewed
Normalized value: university_hosted_yoki_ai_platform_available_to_members
Original evidence
Evidence 1Um Beschäftigten, Studierenden und Forschenden einen sicheren Zugang zu generativen KI-Modellen zu gewährleisten und diese im Arbeitsalltag konstruktiv zu integrieren, entwickelt und hostet das URZ eigene KI-Intrastruktur und setzt Open-Source-Produkte ein. Über die KI-Plattform YoKI können Universitätsmitglieder aus verschiedenen großen Sprachmodellen auswählen.
Localized display only
URZ says it develops and hosts its own AI infrastructure and offers YoKI so university members can choose from several large language models.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
4 source attribution
Künstliche Intelligenz (KI) - Universitätsrechenzentrum Heidelberg
urz.uni-heidelberg.de
Künstliche Intelligenz in der Lehre - heiSKILLS
heiskills.uni-heidelberg.de
Leitlinie zum Umgang mit KI in Studium und Lehre an der Universität Heidelberg
backend.heiskills.uni-heidelberg.de
Use of Generative AI in Doctoral Dissertations - Embracing Innovation with Integrity
graduateacademy.uni-heidelberg.de
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.