University AI Policy Tracker
APIGitHub
Language
ENZHFRPL

Change log

Ludwig-Maximilians-Universität München

Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Review: Agent reviewedLast checkedJul 19, 2026Last changedJul 19, 2026Claims7Sources5Latest releasepublic-release-20260715-005Release records1
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

Ludwig-Maximilians-Universität München currently has 7 source-backed claim records and 5 official source attributions. Latest tracked changed date: Jul 19, 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.

This page combines all public release diffs for Ludwig-Maximilians-Universität München. 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.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted1Evidence0Source snapshots0Source text0Source added2Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Ludwig-Maximilians-Universität München combined release diff

Comparing public-release-20260714-002 to public-release-20260715-005.

+7-0
11 # Ludwig-Maximilians-Universität München AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+ai_tool_treatment: Microsoft Copilot is listed for Ludwig-Maximilians-Universität München in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
5+Evidence (de, 1cc3e1b58aee): LMU's official teaching event states that LMU employees can use Microsoft Copilot through the University Microsoft 365 access.
6+Tracker checked at: 2026-07-15T22:07:43.896Z
47 ## Source attribution added
58 An official source attribution was added to the tracker record.
9+Source https://www.lmu.de/de/die-lmu/struktur/zentrale-universitaetsverwaltung/it-services-division/it-servicedesk/zentrale-it-angebote/microsoft-office-365/ snapshot 1cc3e1b58aee26ecf35e60bfabb4a754ca94fc9666227a5b97d5f9253317b613
10+Tracker checked at: 2026-07-15T22:07:43.896Z
611 ## Source attribution added
712 An official source attribution was added to the tracker record.
13+Source https://www.lmu.de/profil/de/aktuelles/veranstaltungsuebersicht/veranstaltung/pruefungsformat-hausarbeit-neu-denken-in-zeiten-von-ki-fde305b1.html snapshot 1cc3e1b58aee26ecf35e60bfabb4a754ca94fc9666227a5b97d5f9253317b613
14+Tracker checked at: 2026-07-15T22:07:43.896Z

Release history

1 public release diff

public-release-20260715-005

Compared with public-release-20260714-002.

Policy text0Newly extracted1Source snapshots0Source text0
Release diffDiff JSON

Ludwig-Maximilians-Universität München public-release-20260715-005 diff

Comparing public-release-20260714-002 to public-release-20260715-005.

+7-0
11 # Ludwig-Maximilians-Universität München AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+ai_tool_treatment: Microsoft Copilot is listed for Ludwig-Maximilians-Universität München in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
5+Evidence (de, 1cc3e1b58aee): LMU's official teaching event states that LMU employees can use Microsoft Copilot through the University Microsoft 365 access.
6+Tracker checked at: 2026-07-15T22:07:43.896Z
47 ## Source attribution added
58 An official source attribution was added to the tracker record.
9+Source https://www.lmu.de/de/die-lmu/struktur/zentrale-universitaetsverwaltung/it-services-division/it-servicedesk/zentrale-it-angebote/microsoft-office-365/ snapshot 1cc3e1b58aee26ecf35e60bfabb4a754ca94fc9666227a5b97d5f9253317b613
10+Tracker checked at: 2026-07-15T22:07:43.896Z
611 ## Source attribution added
712 An official source attribution was added to the tracker record.
13+Source https://www.lmu.de/profil/de/aktuelles/veranstaltungsuebersicht/veranstaltung/pruefungsformat-hausarbeit-neu-denken-in-zeiten-von-ki-fde305b1.html snapshot 1cc3e1b58aee26ecf35e60bfabb4a754ca94fc9666227a5b97d5f9253317b613
14+Tracker checked at: 2026-07-15T22:07:43.896Z

Claim changes

7 claim records

ai_tool_treatment

Microsoft Copilot is listed for Ludwig-Maximilians-Universität München in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Review: Agent reviewedConfidence97%Evidence2Languagesde

ai_tool_treatment

LMU IfKW student guidance says AI may be used in assessments only with explicit teacher permission; if no explicit permission is given, students must assume AI use is not allowed.

Review: Agent reviewedConfidence95%Evidence1Languagesen

privacy

LMU IfKW guidance says material containing personal information must not be entered into AI systems without consent and unless German or EU data-protection standards are met.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

LMU IfKW guidance treats verbatim or minimally changed AI-generated text without proper attribution as plagiarism, and says significant unattributed AI-generated text in assessed work can receive grade 5 (failed).

Review: Agent reviewedConfidence94%Evidence1Languagesen

research

LMU Medical Faculty dissertation guidance says doctoral authors must disclose when, where, and to what extent AI was used, name AI as an aid in the affidavit, and mark sections where AI was used for creation or editing.

Review: Agent reviewedConfidence94%Evidence1Languagesde

academic_integrity

LMU IfKW guidance says permitted AI use in assessed work, including preliminary tasks, must be completely and appropriately documented.

Review: Agent reviewedConfidence93%Evidence1Languagesen

teaching

LMU teaching guidance recommends adapting e-exam questions for ChatGPT-era assessment, including tasks that require critical reflection on ChatGPT limitations rather than simple knowledge or comprehension questions.

Review: Agent reviewedConfidence91%Evidence1Languagesde

Source snapshots

5 source attributions