Heidelberg, Germany Last checked

Universität Heidelberg

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Coursework

Scoped public references; review incomplete

The retained guideline generally allows AI and language models within examiner/instructor rules while preserving independent work. It does not offer unrestricted permission.

Official source ↗

Exams

Scoped public references; review incomplete

The same conditional framework requires checking examiner and course rules. The record does not establish that AI is allowed in every exam or discipline-specific assessment.

Official source ↗

Disclosure

Scoped public references; review incomplete

Study-work records require an independence/AI-use declaration with tools and purposes. Prompt logs are not made a universal duty here; doctoral disclosure has separate requirements.

Official source ↗

Privacy and data

Scoped public references; review incomplete

The guideline advises against entering sensitive, personal, confidential or copyrighted text into AI systems that may process it outside university infrastructure. Preserve this advisory strength and context.

Official source ↗

Tools and eligibility

Scoped public references; review incomplete

The computing-centre record describes university-hosted YoKI and model choice for members. It does not establish universal account eligibility, costs or permission for assessed use.

Official source ↗

Research and publication

Scoped public references; review incomplete

Doctoral guidance requires stating when, where, why and to what extent AI was used. AI remains an aid to independent intellectual work; this doctoral rule is not expanded to all publication types.

Official source ↗
More reviewed record topics

Academic integrity

Scoped public references; review incomplete

Independent work and study-work disclosure remain central conditions. Neither these records nor held faculty examples establish a university-wide sanction or appeal deadline.

Official source ↗

Teaching guidance

Scoped public references; review incomplete

Instructors are asked to design AI use around learning goals and tell students which applications are permitted or prohibited. Task and examiner conditions still apply.

Official source ↗

Security and procurement

Scoped public references; review incomplete

No retained Claim establishes a separate university-wide AI procurement process in this view. Data-entry advice and YoKI hosting should not be recast as such a process.

Before you submit

Do

  • Follow the examiner’s or instructor’s AI rules and preserve the independent character of your work.
    Requirement in this scope
  • For study work, disclose AI tools and their purposes in the required declaration.
    Requirement in this scope
  • For doctoral work, describe when, where, why and how extensively AI was used.
    Requirement in this scope

Don’t

  • Do not treat access to YoKI as permission to use AI in an examination.
    Site advice
  • Avoid entering protected text into AI systems outside university infrastructure as the guideline advises.
    Source guidance

AI use questioned?

Universität Heidelberg

The central orientation framework remains conditional on examiners, instructors and independent work. Study-work and doctoral disclosure differ; YoKI access is not assessment permission.

Investigation & response

The current evidence does not include a verified specific procedure or deadline. Check the applicable university rules.

Possible outcomes

The current evidence does not include a verified specific procedure or deadline. Check the applicable university rules.

Review & appeal

The current evidence does not include a verified specific procedure or deadline. Check the applicable university rules.

Tool discovery records: scope pending review

Tool discovery information and cited sources are retained. Current account eligibility, cost, endorsement and assessment permission are not confirmed.

ChatGPT

DeepL

YoKI

YoKI

Record updatesLast 90 days · Recorded updates: 3

Updates to this site's reviewed record, not confirmation that the university changed its policy.

  1. Page update

    Other records · Page update

    View revision

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  2. Record maintenance

    Other records · Record maintenance

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  3. Record maintenance

    Other records · Record maintenance

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Reviewed claims

6

Historical and pending public Claims (1)

These original public records and sources remain traceable. They are excluded from current topics, FAQ, submission and Analysis conclusions and do not establish current permission.

cl-universitat-heidelberg-institutional-ai-service-340 · excluded_pending_review

The central guideline is an orientation framework: grundsätzlich erlaubt remains conditional on examiners, courses and independent work. Study-work disclosure and doctoral disclosure are separate. Prompt records are task-dependent; no universal full-log duty or faculty appeal deadline is inferred. YoKI service availability is not assessment permission.

“conditionally allowed”是网站推导的工具分类;校内服务可用不等于考核允许。

Record history

Official sources

5 official URLs; 5 source attributions and their captured versions retained.

AI for All: URZ Establishes a Language Model Platform for the University - University Computing Centre Heidelberg

www.urz.uni-heidelberg.de

University official source

urz.uni-heidelberg.de

Hash and captured version

AI for All: URZ Establishes a Language Model Platform for the University - University Computing Centre Heidelberg · 2026-07-15T22:59:43.896Z

Representation unspecified in this historical record; do not assume an original-file hash.

82b1edbea7497786ea7c27b5a9a675224cd5d56c8718b5add9011defa13e6438

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Künstliche Intelligenz (KI) - Universitätsrechenzentrum Heidelberg

www.urz.uni-heidelberg.de

University official source

urz.uni-heidelberg.de

Hash and captured version

Künstliche Intelligenz (KI) - Universitätsrechenzentrum Heidelberg · 2026-05-13T13:01:30.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

abe4acc5783f30054efd92698b2e85862a23177c2d35393e499ce3dd50494a63

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Künstliche Intelligenz in der Lehre - heiSKILLS

heiskills.uni-heidelberg.de

University official source

heiskills.uni-heidelberg.de

Hash and captured version

Künstliche Intelligenz in der Lehre - heiSKILLS · 2026-05-13T13:00:30.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

793c4dafc44a4fb90d4fcf5596fa93edfb607fe8e16774208597a2c26946a3d4

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Leitlinie zum Umgang mit KI in Studium und Lehre an der Universität Heidelberg

backend.heiskills.uni-heidelberg.de

University official source

backend.heiskills.uni-heidelberg.de

Hash and captured version

Leitlinie zum Umgang mit KI in Studium und Lehre an der Universität Heidelberg · 2026-05-13T13:00:00.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

0537188b668d1f123514721a7c63aaef339b03987c600f119dad1405b56dcecd

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Use of Generative AI in Doctoral Dissertations - Embracing Innovation with Integrity

www.graduateacademy.uni-heidelberg.de

University official source

graduateacademy.uni-heidelberg.de

Hash and captured version

Use of Generative AI in Doctoral Dissertations - Embracing Innovation with Integrity · 2026-05-13T13:01:00.000Z

Representation unspecified in this historical record; do not assume an original-file hash.

b26f13c210d110b0ef164fbf0b2721419f1c10b9c72f305204336b98674f2bfd

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗
Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
qs71-90-v6-completeness-r3-20261025
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · All record history

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

  • Institution audit PARTIAL. Official raw HTML/PDF originals and full version/context verification remain incomplete.
  • Original public records remain unchanged. Excluded records are historical or pending scope review, not current permissions.
  • New corrections, tools, student interpretations and snapshots remain unapproved.
        Current reviewed JSON
        Questions students ask

        Questions students ask

        Can I use AI for my coursework?

        The retained guideline generally allows AI and language models within examiner/instructor rules while preserving independent work. It does not offer unrestricted permission.

        View evidence →
        Do I need to disclose AI use?

        Study-work records require an independence/AI-use declaration with tools and purposes. Prompt logs are not made a universal duty here; doctoral disclosure has separate requirements.

        View evidence →
        Can I upload sensitive data?

        The guideline advises against entering sensitive, personal, confidential or copyrighted text into AI systems that may process it outside university infrastructure. Preserve this advisory strength and context.

        View evidence →
        Which tools can I access?

        The computing-centre record describes university-hosted YoKI and model choice for members. It does not establish universal account eligibility, costs or permission for assessed use.

        View evidence →
        What are the examination rules?

        The same conditional framework requires checking examiner and course rules. The record does not establish that AI is allowed in every exam or discipline-specific assessment.

        View evidence →
        What rules apply to research and publication?

        Doctoral guidance requires stating when, where, why and to what extent AI was used. AI remains an aid to independent intellectual work; this doctoral rule is not expanded to all publication types.

        View evidence →
        What counts as academic misconduct?

        Independent work and study-work disclosure remain central conditions. Neither these records nor held faculty examples establish a university-wide sanction or appeal deadline.

        View evidence →
        What guidance applies to teaching?

        Instructors are asked to design AI use around learning goals and tell students which applications are permitted or prohibited. Task and examiner conditions still apply.

        View evidence →
        What security and procurement requirements apply?

        No retained Claim establishes a separate university-wide AI procurement process in this view. Data-entry advice and YoKI hosting should not be recast as such a process.

        View evidence →
        When was this record checked?

        Record checked:

        Record version →
        Which official sources support these rules?Official source →
        Where can I read the full evidence?

        7 · Full policy evidence

        Full policy evidence →
        Universität Heidelberg AI Policy