Munich, Germany Last checked

Ludwig-Maximilians-Universität München

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Coursework

Conditions and evidence gaps

IfKW assessments require explicit teacher permission for AI; without it students must assume AI use is not allowed.

Official source ↗

Exams

Conditions and evidence gaps

The recorded IfKW assessment rule requires explicit permission; follow the instructions for the specific examination and unit.

Official source ↗

Disclosure

Conditions and evidence gaps

IfKW requires full documentation of permitted assessment AI use. Medical Faculty doctoral authors have separate disclosure and affidavit duties.

Official source ↗

Privacy and data

Conditions and evidence gaps

IfKW guidance requires consent and German/EU data-protection compliance before personal-information material enters AI systems.

Official source ↗

Institutional tools

Conditions and evidence gaps

Microsoft Copilot is listed with conditional access; this does not override the explicit-permission rule for IfKW assessments.

Official source ↗

Research and publication

Conditions and evidence gaps

Medical Faculty dissertation authors must identify when, where and how extensively AI was used, name it in the affidavit and mark affected sections.

Official source ↗
More reviewed record topics

Academic integrity

Conditions and evidence gaps

IfKW treats unattributed verbatim or minimally changed AI text as plagiarism; substantial unattributed use in assessed work can fail.

Official source ↗

Teaching guidance

Conditions and evidence gaps

LMU teaching guidance recommends e-exam tasks involving critical reflection on ChatGPT’s limitations rather than simple recall.

Official source ↗

Security and procurement

Conditions and evidence gaps

The current reviewed Claims do not specify an AI security-review or procurement procedure.

Official source ↗

Before you submit

Do

  • For IfKW assessments, obtain explicit teacher permission.
    Requirement in this scope
  • For IfKW assessed work, completely document permitted AI use, including preliminary tasks.
    Requirement in this scope
  • For Medical Faculty dissertations, follow the separate disclosure and affidavit rules.
    Requirement in this scope

Don’t

  • Do not assume silence permits AI in an IfKW assessment.
    Requirement in this scope
  • In IfKW assessments, do not submit verbatim or lightly edited AI text without proper attribution.
    Requirement in this scope
  • Under IfKW guidance, do not enter material containing personal information into AI systems unless consent has been obtained and German or EU data-protection standards are met.
    Requirement in this scope

AI use questioned?

Ludwig-Maximilians-Universität München

Assessment and personal-data rules cited here are IfKW guidance. Doctoral disclosure rules are from the Medical Faculty; do not extend either scope campus-wide.

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.

AI tools & access

No source-backed tool record has been established for this university yet. This does not mean AI tools are unavailable or prohibited.

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

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  2. Record maintenance

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  3. Record maintenance

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Reviewed claims

7

Official sources

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

Handreichung zum Umgang mit KI

cms-cdn.lmu.de

University official source

cms-cdn.lmu.de

Hash and captured version

Handreichung zum Umgang mit KI · 2026-05-12T14:09:15Z

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

e572e056a5eb30a5e00a7d1a90ce5d4c1b7531bfe6c198c87e0b1933d153eeba

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

Official source ↗

Microsoft Office 365 - LMU München

www.lmu.de

University official source

lmu.de

Hash and captured version

Microsoft Office 365 - LMU München · 2026-07-15T22:07:43.896Z

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

1cc3e1b58aee26ecf35e60bfabb4a754ca94fc9666227a5b97d5f9253317b613

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

Official source ↗

Prüfungsformat & … - PROFiL - Professionell in der Lehre - LMU München

www.lmu.de

University official source

lmu.de

Hash and captured version

Prüfungsformat & … - PROFiL - Professionell in der Lehre - LMU München · 2026-07-15T22:07:43.896Z

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

1cc3e1b58aee26ecf35e60bfabb4a754ca94fc9666227a5b97d5f9253317b613

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

Official source ↗

The use of AI by students

cms-cdn.lmu.de

University official source

cms-cdn.lmu.de

Hash and captured version

The use of AI by students · 2026-05-12T14:09:15Z

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

a82c2400f28677a71a66c6bf7b2eef43ca4e4f926f415eeef75b7ae853647cee

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

Official source ↗

Umgang und Nutzung von künstlicher Intelligenz

www.med.lmu.de

University official source

med.lmu.de

Hash and captured version

Umgang und Nutzung von künstlicher Intelligenz · 2026-05-12T14:09:15Z

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

99c44e197380c05b23bdfbfbfe10f5b8cfd3b2725483f55a8d259432cc6bdda0

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
public-release-20260924-002
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · Historical baseline

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-wide evidence audit remains PARTIAL. Supplementary quotations are not independently verified by this presentation release.
  • Current JSON and MCP retain the previous public Claim set. Local candidate corrections and held decisions remain private and pending review.
  • Source excerpts retain their declared capture limitations. Original official HTTP/PDF bytes were not verified by this release.
  • Institutional semantic audit remains PARTIAL. Student-facing display is derived from existing published Claims; no new institutional tool record, source verification or strong snapshot approval.
        Current reviewed JSON
        Questions students ask

        Questions students ask

        Can I use AI for my coursework?

        IfKW assessments require explicit teacher permission for AI; without it students must assume AI use is not allowed.

        View evidence →
        Do I need to disclose AI use?

        IfKW requires full documentation of permitted assessment AI use. Medical Faculty doctoral authors have separate disclosure and affidavit duties.

        View evidence →
        Can I upload sensitive data?

        IfKW guidance requires consent and German/EU data-protection compliance before personal-information material enters AI systems.

        View evidence →
        Which tools can I access?

        Microsoft Copilot is listed with conditional access; this does not override the explicit-permission rule for IfKW assessments.

        View evidence →
        What are the examination rules?

        The recorded IfKW assessment rule requires explicit permission; follow the instructions for the specific examination and unit.

        View evidence →
        What rules apply to research and publication?

        Medical Faculty dissertation authors must identify when, where and how extensively AI was used, name it in the affidavit and mark affected sections.

        View evidence →
        What counts as academic misconduct?

        IfKW treats unattributed verbatim or minimally changed AI text as plagiarism; substantial unattributed use in assessed work can fail.

        View evidence →
        What guidance applies to teaching?

        LMU teaching guidance recommends e-exam tasks involving critical reflection on ChatGPT’s limitations rather than simple recall.

        View evidence →
        What security and procurement requirements apply?

        The current reviewed Claims do not specify an AI security-review or procurement procedure.

        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 →
        Ludwig-Maximilians-Universität München AI Policy