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Technical University of Munich

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Coursework

Conditional

TUM ProLehre student guidance specifies that generative AI tools may be used for written coursework, term papers, essays, and theses only when AI tool use is explicitly permitted for that specific assessment by the instructor or module specifications. Where instructions are silent, students should ask in advance rather than assuming permission. When authorized, transparent documentation of tool use and prompts is commonly required, and students retain full personal responsibility for submitted work.

Official source ↗

Exams

Conditional

Examinations prohibit unauthorized generative AI assistance. Under the reviewed APSO reading version, suitable software may check unacknowledged text or sources, while the examiner determines whether deception occurred. Under APSO § 24(6), an examination failed due to § 22 deception or disruption may be retaken only once. Severe or repeated deception or disruption may lead to degree-program exclusion under § 22(3); these are general examination provisions rather than an AI-specific sanction schedule.

Official source ↗

Disclosure

Conditional

When generative AI tool use is authorized, transparent documentation of tool use, methods, and prompts is commonly required and course-conditioned; students retain full personal responsibility for all submitted work. The Chair of Marketing and Consumer Research guidelines require a signed AI declaration for theses and seminar papers, including a formal non-use declaration if no AI was used.

Official source ↗

Privacy & sensitive data

Prohibited

TUM ProLehre guidance instructs students and instructors not to enter personal, sensitive, or confidential data into AI tools, which applies also to TUM-approved systems. In addition, teaching and study materials (such as lecture slides, scripts, recordings, or past exams) are protected intellectual property and require explicit instructor consent before being uploaded to or processed in AI tools, even when used solely for personal study purposes like summarization, transcription, or translation.

Official source ↗

Institutional tools

Conditional

TUM provides M365 Copilot Chat through TUMonline activation, but tool activation does not establish assessment permission or authorization to enter personal, sensitive, or confidential data. ProLehre highlights Chat-AI by AcademicCloud as a privacy-friendly option hosted on German university servers, but reviewed sources do not establish individual account eligibility or licensing guarantees.

Official source ↗

Research & publication

Conditional

TUM SGwP statutes establish research integrity standards requiring research data retention on durable secure media, ordinarily for 10 years from publication unless justified shorter periods or discipline-specific standards apply. Guidelines from the MKT Chair permit AI as a research aid for theses but prohibit AI empirical data collection and analysis unless explicitly approved by the supervisor.

Official source ↗
More reviewed record topics

Academic integrity & procedures

Conditional

Under the reviewed APSO reading version, attempted deception in examinations or coursework results in an assessment grade of 5.0 (fail). A failed examination resulting from deception or disruption may be retaken only once under § 24(6). Under § 25(3), a candidate may inspect examination files upon reasoned written application to the examination board chair within 1 month of grade announcement, with time and place determined by the chair with the examiner. Under § 21, procedural defects must be raised promptly in writing. Formally published enactments remain legally authoritative over the reading consolidation. The inspection window is not a deadline for disciplinary or administrative appeals, which remain unreviewed.

Official source ↗

Teaching guidance

Recommended

TUM ProLehre teaching guidance advises instructors to exercise their broad pedagogical discretion by basing AI-use decisions on intended learning outcomes, evaluating whether AI supports, complements, or hinders core competencies. Guidance recommends didactically grounding course rules, communicating expectations transparently, and providing targeted student training on AI functions, limitations, bias recognition, and critical evaluation of AI outputs.

Official source ↗

Security and procurement

Unclear

Central IT security review protocols, vendor assessment criteria, and institutional procurement standards for third-party artificial intelligence tools are not established in current public records.

Before you submit

Do

  • Ensure generative AI tools are used for coursework only when explicitly permitted for that specific assessment by the instructor or module specifications; where instructions are silent, students are strongly advised to ask the instructor in advance ('sollten Sie unbedingt vorab nachfragen') rather than assuming permission.
    Requirement in this scope
  • When authorized, transparently document AI tools, methods, and prompts according to course instructions (general ProLehre guidance); where completing seminar or thesis work under the Chair of Marketing and Consumer Research, insert the chair's mandatory AI declaration before the bibliography (or formal non-use statement).
    Source guidance
  • For exam inspections under APSO § 25(3), submit a reasoned written application to the examination board chair within 1 month of grade announcement; the chair determines place and time with the examiner.
    Source guidance

Don’t

  • Do not use generative AI in examinations or coursework without explicit permission; unauthorized use may be treated as deception or unauthorized aid under APSO § 22 (graded 5.0 fail), and an examination failed due to § 22 deception may be retaken only once under § 24(6).
    Requirement in this scope
  • Do not enter personal, sensitive, or confidential data into AI tools (including TUM-approved systems), and do not upload teaching materials (such as slides, scripts, or past exams) without explicit instructor consent even for personal study.
    Requirement in this scope
  • Do not assume institutional tool access (such as M365 Copilot Chat or AcademicCloud Chat-AI) confers permission for specific course assessments or thesis submissions.
    Source guidance

AI use questioned?

Technical University of Munich

TUM ProLehre Didactic Guidance; APSO 12th Amending Statute Reading Version (Latest listed amendment 16 Dec 2025; formally published enactments remain legally authoritative); SGwP Research Statute; MKT Chair Thesis Guidelines. Institution audit remains PARTIAL.

Investigation & response

In the APSO reading version as amended by the12th amending statute, §22(1) says attempting to influence an examination result through deception or unauthorized aids leads to a failing grade. Suitable software may check unacknowledged text or sources, while the examiner determines whether deception occurred. Under §22(2), disruption may lead to exclusion from that examination and a failing grade. In serious or repeated deception or disruption cases, the examination committee may exclude the student from further examinations in the degree program, with final failure of the degree examination (§22(3)). Under §24(6), an examination failed because of §22 deception or disruption may be retaken only once. These are general examination provisions, not a separate AI-specific sanction schedule.

Original evidence and scope

In the APSO reading version as amended by the12th amending statute, §22(1) says attempting to influence an examination result through deception or unauthorized aids leads to a failing grade. Suitable software may check unacknowledged text or sources, while the examiner determines whether deception occurred. Under §22(2), disruption may lead to exclusion from that examination and a failing grade. In serious or repeated deception or disruption cases, the examination committee may exclude the student from further examinations in the degree program, with final failure of the degree examination (§22(3)). Under §24(6), an examination failed because of §22 deception or disruption may be retaken only once. These are general examination provisions, not a separate AI-specific sanction schedule.

draft-claim-tum-apso-misconduct-and-retake
Versucht der Studierende das Ergebnis einer Prüfung durch Täuschung oder Benutzung nicht zugelassener Hilfsmittel zu beeinflussen, wird die betreffende Prüfung mit „nicht ausreichend“ bzw. „nicht bestanden“ bewertet.

physical page 20; lines 1249-1251; § 22 Abs. 1 Satz 1 (Täuschung und unzulässige Hilfsmittel)

Official university source ↗
Prüfungen und Prüfungselemente dürfen mithilfe geeigneter Software auf nicht kenntlich gemachte übernommene Textpassagen oder sonstige Quellen hin überprüft werden; die Beurteilung, ob eine Täuschung vorliegt, erfolgt durch den Prüfenden.

physical page 20; lines 1251-1254; § 22 Abs. 1 Satz 2 (Plagiatsprüfung per Software)

Official university source ↗
Ein Studierender, der den ordnungsgemäßen Ablauf des Prüfungstermins stört, kann von dem Prüfenden oder Aufsichtführenden von der Fortsetzung der Prüfung ausgeschlossen werden; in diesem Fall wird die Prüfung mit „nicht ausreichend“ bzw. „nicht bestanden“ bewertet.

physical page 20; lines 1260-1263; § 22 Abs. 2 (Störung des Prüfungstermins)

Official university source ↗
In schwerwiegenden oder wiederholten Fällen einer Täuschung oder eines Ordnungsverstoßes kann der Prüfungsausschuss den Studierenden von der Erbringung weiterer Prüfungen in diesem Studiengang ausschließen, so dass der Studierende die Abschlussprüfung in diesem Studiengang endgültig nicht bestanden hat.

physical page 20; lines 1267-1270; § 22 Abs. 3 (Ausschluss bei schwerwiegender/wiederholter Täuschung)

Official university source ↗
Dies gilt nicht bei Nichtbestehen infolge einer Täuschung oder eines Ordnungsverstoßes gemäß § 22. 5In diesem Falle kann die nichtbestandene Prüfung nur einmal wiederholt werden

physical page 21; lines 1371-1373; § 24 Abs. 6 Sätze 4-5 (Wiederholungsbegrenzung auf genau einmal)

Official university source ↗

TUM ProLehre guidance observes that reliable control of AI use is difficult to impossible and recommends designing assessments so that unauthorized AI use offers no decisive advantage. This is pedagogical guidance; it does not itself determine whether an individual student committed misconduct.

Original evidence and scope

TUM ProLehre guidance observes that reliable control of AI use is difficult to impossible and recommends designing assessments so that unauthorized AI use offers no decisive advantage. This is pedagogical guidance; it does not itself determine whether an individual student committed misconduct.

tum-claim-4
Eine zuverlässige Kontrolle der KI-Nutzung ist schwierig bis unmöglich. Wird die KINutzung trotzdem eingeschränkt oder verboten werden, sollten Prüfungen so gestaltet werden, dass eine unerlaubte Nutzung keinen entscheidenden Vorteil bietet.

physical page 4; lines 176-177; Entscheidungshilfe S. 4 (Zuverlässige Kontrolle schwierig bis unmöglich, Prüfungsdesign)

Official university source ↗

Possible outcomes

In the APSO reading version as amended by the12th amending statute, §22(1) says attempting to influence an examination result through deception or unauthorized aids leads to a failing grade. Suitable software may check unacknowledged text or sources, while the examiner determines whether deception occurred. Under §22(2), disruption may lead to exclusion from that examination and a failing grade. In serious or repeated deception or disruption cases, the examination committee may exclude the student from further examinations in the degree program, with final failure of the degree examination (§22(3)). Under §24(6), an examination failed because of §22 deception or disruption may be retaken only once. These are general examination provisions, not a separate AI-specific sanction schedule.

Original evidence and scope

In the APSO reading version as amended by the12th amending statute, §22(1) says attempting to influence an examination result through deception or unauthorized aids leads to a failing grade. Suitable software may check unacknowledged text or sources, while the examiner determines whether deception occurred. Under §22(2), disruption may lead to exclusion from that examination and a failing grade. In serious or repeated deception or disruption cases, the examination committee may exclude the student from further examinations in the degree program, with final failure of the degree examination (§22(3)). Under §24(6), an examination failed because of §22 deception or disruption may be retaken only once. These are general examination provisions, not a separate AI-specific sanction schedule.

draft-claim-tum-apso-misconduct-and-retake
Versucht der Studierende das Ergebnis einer Prüfung durch Täuschung oder Benutzung nicht zugelassener Hilfsmittel zu beeinflussen, wird die betreffende Prüfung mit „nicht ausreichend“ bzw. „nicht bestanden“ bewertet.

physical page 20; lines 1249-1251; § 22 Abs. 1 Satz 1 (Täuschung und unzulässige Hilfsmittel)

Official university source ↗
Prüfungen und Prüfungselemente dürfen mithilfe geeigneter Software auf nicht kenntlich gemachte übernommene Textpassagen oder sonstige Quellen hin überprüft werden; die Beurteilung, ob eine Täuschung vorliegt, erfolgt durch den Prüfenden.

physical page 20; lines 1251-1254; § 22 Abs. 1 Satz 2 (Plagiatsprüfung per Software)

Official university source ↗
Ein Studierender, der den ordnungsgemäßen Ablauf des Prüfungstermins stört, kann von dem Prüfenden oder Aufsichtführenden von der Fortsetzung der Prüfung ausgeschlossen werden; in diesem Fall wird die Prüfung mit „nicht ausreichend“ bzw. „nicht bestanden“ bewertet.

physical page 20; lines 1260-1263; § 22 Abs. 2 (Störung des Prüfungstermins)

Official university source ↗
In schwerwiegenden oder wiederholten Fällen einer Täuschung oder eines Ordnungsverstoßes kann der Prüfungsausschuss den Studierenden von der Erbringung weiterer Prüfungen in diesem Studiengang ausschließen, so dass der Studierende die Abschlussprüfung in diesem Studiengang endgültig nicht bestanden hat.

physical page 20; lines 1267-1270; § 22 Abs. 3 (Ausschluss bei schwerwiegender/wiederholter Täuschung)

Official university source ↗
Dies gilt nicht bei Nichtbestehen infolge einer Täuschung oder eines Ordnungsverstoßes gemäß § 22. 5In diesem Falle kann die nichtbestandene Prüfung nur einmal wiederholt werden

physical page 21; lines 1371-1373; § 24 Abs. 6 Sätze 4-5 (Wiederholungsbegrenzung auf genau einmal)

Official university source ↗

Review & appeal

In the reviewed APSO reading version, §25(3) grants access to written examination work, examiner reports and oral-examination minutes on a reasoned written application after results are announced. The application must reach the examination committee chair within one month of announcement; the chair determines the time and place with the examiner. Under §21, examination-procedure defects must be raised promptly in writing to the committee chair or examiner. This inspection window does not establish a deadline for disciplinary or administrative appeals, which remain unreviewed.

Original evidence and scope

In the reviewed APSO reading version, §25(3) grants access to written examination work, examiner reports and oral-examination minutes on a reasoned written application after results are announced. The application must reach the examination committee chair within one month of announcement; the chair determines the time and place with the examiner. Under §21, examination-procedure defects must be raised promptly in writing to the committee chair or examiner. This inspection window does not establish a deadline for disciplinary or administrative appeals, which remain unreviewed.

draft-claim-tum-apso-inspection-and-procedural-objections
Mängel des Prüfungsverfahrens müssen unverzüglich schriftlich beim Vorsitzenden des Prüfungsausschusses oder beim Prüfenden geltend gemacht werden.

physical page 19; lines 1240-1241; § 21 (Mängel im Prüfungsverfahren)

Official university source ↗
Auf schriftlichen und begründeten Antrag muss gemäß Art. 29 Abs. 1 Bayerisches Verwaltungsverfahrensgesetz nach Bekanntgabe des Prüfungsergebnisses einer Prüfungsleistung dem Studierenden Einsicht in seine schriftliche Prüfungsarbeit und die darauf bezogenen Gutachten der Prüfenden sowie in die Protokolle der mündlichen Prüfungen gewährt werden. 2Der Antrag auf Einsichtnahme ist beim Vorsitzenden des Prüfungsausschusses spätestens binnen eines Monats nach Bekanntgabe des Prüfungsergebnisses zu stellen. 3Der Vorsitzende des Prüfungsausschusses bestimmt im Benehmen mit dem Prüfenden Ort und Zeit der Einsichtnahme. 1 1 1

physical page 22; lines 1429-1442; Coordinator continuous context extension

Official university source ↗

AI tools & access

  • M365 Copilot ChatOfficial recommendationRecorded as allowed in the source scope

    Activate through TUMonline as described by the official digitalization announcement.

  • GrammarlyOfficial recommendationRecorded as allowed in the source scope

    See TUM's Grammarly wiki information.

  • Chat-AI by Academic CloudThird-party serviceConditions apply

    Follow the AcademicCloud Chat-AI link recommended by ProLehre. TUM user eligibility, authentication methods and license terms are not established in reviewed institutional sources.

Record updatesLast 90 days · Recorded updates: 4

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Reviewed claims

14

Official sources

23 official URLs; 24 source attributions and their captured versions retained.

KI klug nutzen: Orientierung für Studierende und Lehrende | ProLehre | Medien und Didaktik

www.prolehre.tum.de

University official source

Technical University of Munich

Hash and captured version

KI klug nutzen: Orientierung für Studierende und Lehrende | ProLehre | Medien und Didaktik · 2026-10-19T00:06:53Z

SHA-256 of the retained capture file bytes.

0c083855561614f5f77812f48ace7026d8ec36947defe4bce511cc88dce8b954

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

Official source ↗

Using AI Wisely: Guidance for Students and Faculty | ProLehre | Medien und Didaktik

www.prolehre.tum.de

University official source

Technical University of Munich

Hash and captured version

Using AI Wisely: Guidance for Students and Faculty | ProLehre | Medien und Didaktik · 2026-10-19T00:06:54Z

SHA-256 of the retained capture file bytes.

bdbf768421e69c22440bce9f101cfe67a0795d2541c3fc414bae50b3867efd2c

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

Official source ↗

Entscheidungshilfe für den KI-Einsatz in der Lehre (Version 2)

www.prolehre.tum.de

University official source

Technical University of Munich

Hash and captured version

Entscheidungshilfe für den KI-Einsatz in der Lehre (Version 2) · 2026-10-19T00:06:55Z

SHA-256 of the retained capture file bytes.

4a4edc4855f45730a360a039728dc53ffe4bf9fe2d6be6a091d302098db18da0

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

Official source ↗

M365 und Copilot - Digitalisierungsstrategie der TUM

www.digitalisierung.tum.de

University official source

Technical University of Munich

Hash and captured version

M365 und Copilot - Digitalisierungsstrategie der TUM · 2026-10-19T00:06:58Z

SHA-256 of the retained capture file bytes.

9f1a572347424e022b00cf83834a3d3bb7784cafb08b2ff5296e48b0efb3865a

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

Official source ↗

M365 and Copilot - TUM digitalization strategy

www.digitalisierung.tum.de

University official source

Technical University of Munich

Hash and captured version

M365 and Copilot - TUM digitalization strategy · 2026-10-19T00:07:00Z

SHA-256 of the retained capture file bytes.

28fab13dc9a6ad6df3e6ab66721756633af52d898df927398ad707f676c68cf4

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

Official source ↗

Grammarly available for all TUM members - TUM digitalization strategy

www.digitalisierung.tum.de

University official source

Technical University of Munich

Hash and captured version

Grammarly available for all TUM members - TUM digitalization strategy · 2026-10-19T00:07:01Z

SHA-256 of the retained capture file bytes.

24cc107da8022618d92222fb72d4f0f8acd8a5815065676da7f45400f1a132e8

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

Official source ↗

Allgemeine Prüfungs- und Studienordnung für Bachelor- und Masterstudiengänge an der Technischen Universität München (Lesbare Fassung vom 18.03.2011 mit 11. Änderungssatzung vom 17.12.2024)

www.edu.sot.tum.de

University official source

Technical University of Munich

Hash and captured version

Allgemeine Prüfungs- und Studienordnung für Bachelor- und Masterstudiengänge an der Technischen Universität München (Lesbare Fassung vom 18.03.2011 mit 11. Änderungssatzung vom 17.12.2024) · 2026-10-19T00:07:03Z

SHA-256 of the retained capture file bytes.

b11e364f6d692ebc0f14dfc034f48a5c4fb14d6e4d9fc7584540b026485d0804

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

Official source ↗

Zwölfte Satzung zur Änderung der Allgemeinen Prüfungs- und Studienordnung für Bachelor- und Masterstudiengänge an der Technischen Universität München vom 16. Dezember 2025

www.tum.de

University official source

Technical University of Munich

Hash and captured version

Zwölfte Satzung zur Änderung der Allgemeinen Prüfungs- und Studienordnung für Bachelor- und Masterstudiengänge an der Technischen Universität München vom 16. Dezember 2025 · 2026-10-19T00:07:06Z

SHA-256 of the retained capture file bytes.

27f89e0d56214e2b7dad166c36df783ce66c990f61c631d396c5bb6050d9f4cc

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

Official source ↗

Informationen, Empfehlungen und Hinweise zur Gestaltung einer Seminar-, Bachelor- oder Masterarbeit (Lehrstuhl für Marketing und Konsumforschung, Juli 2026)

www.msl.mgt.tum.de

University official source

Technical University of Munich

Hash and captured version

Informationen, Empfehlungen und Hinweise zur Gestaltung einer Seminar-, Bachelor- oder Masterarbeit (Lehrstuhl für Marketing und Konsumforschung, Juli 2026) · 2026-10-19T00:07:07Z

SHA-256 of the retained capture file bytes.

bc15d9579c5ee34b51c1e032f8e63cd027ea7dec715c89e9fade417d4fa41b1b

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

Official source ↗

Compliance an der TUM | Technische Universität München

www.tum.de

University official source

Technical University of Munich

Hash and captured version

Compliance an der TUM | Technische Universität München · 2026-10-19T00:07:09Z

SHA-256 of the retained capture file bytes.

514ac2d4a8baaa9adbeca4c7ef2248a4cc370af5f214d7199e87e17fb326be4f

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

Official source ↗

Satzung der Technischen Universität München zur Sicherung guter wissenschaftlicher Praxis und für den Umgang mit wissenschaftlichem Fehlverhalten (TUM-SGwP)

portal.mytum.de

University official source

Technical University of Munich

Hash and captured version

Satzung der Technischen Universität München zur Sicherung guter wissenschaftlicher Praxis und für den Umgang mit wissenschaftlichem Fehlverhalten (TUM-SGwP) · 2026-10-19T00:07:12Z

SHA-256 of the retained capture file bytes.

ecb1e58f51012787c053a6bb77bbe4c2fb84cd08734935e42f26bac99e8a30c2

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

Official source ↗

Regeln für den Umgang mit KI in der Wissenschaft - TUM

www.tum.de

University official source

Technical University of Munich

Hash and captured version

Regeln für den Umgang mit KI in der Wissenschaft - TUM · 2026-10-19T00:07:14Z

SHA-256 of the retained capture file bytes.

18aa470cee79002a2a83f380f72e98a3994bb057df26e9b45e319f1d4d053ad2

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

Official source ↗

Academic Cloud Chat-AI Authentication Gate

chat-ai.academiccloud.de

University official source

GWDG / German Universities Federation

Hash and captured version

Academic Cloud Chat-AI Authentication Gate · 2026-10-19T00:07:14Z

SHA-256 of the retained capture file bytes.

cf447da740bcbc6aa27cb0cc680558a0f2b849d57e8a87e8389aa1615ae1932c

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

Official source ↗

Technical University of Munich AI Policy Tracker Public Page

eduaipolicy.org

University official source

University AI Policy Tracker

Hash and captured version

Technical University of Munich AI Policy Tracker Public Page · 2026-10-19T00:07:14Z

SHA-256 of the retained capture file bytes.

e71b0802ce9516d712fcfcb79d3672bc63d10603c5a99b6a4059fae9fea6f2fc

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

Official source ↗

慕尼黑工业大学 AI 政策跟踪公开页面

eduaipolicy.org

University official source

University AI Policy Tracker

Hash and captured version

慕尼黑工业大学 AI 政策跟踪公开页面 · 2026-10-19T00:07:14Z

SHA-256 of the retained capture file bytes.

5aa099bd9739eac799f009d3b12f0130505a995aa091706e46dedd58f0edf458

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

Official source ↗

Technical University of Munich Policy Changes Public Page

eduaipolicy.org

University official source

University AI Policy Tracker

Hash and captured version

Technical University of Munich Policy Changes Public Page · 2026-10-19T00:07:15Z

SHA-256 of the retained capture file bytes.

8b4792950c55179c74f6fb04a1fb5fb32a66364d5afcaaac1906659402b458eb

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

Official source ↗

慕尼黑工业大学政策变更公开页面

eduaipolicy.org

University official source

University AI Policy Tracker

Hash and captured version

慕尼黑工业大学政策变更公开页面 · 2026-10-19T00:07:15Z

SHA-256 of the retained capture file bytes.

c3afa354fa288ed6f5de5d8a428b3982dc95557ba6ae9542685144e44d1fac11

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

Official source ↗

Student Snapshot Public Endpoint Probe

eduaipolicy.org

University official source

University AI Policy Tracker API

Hash and captured version

Student Snapshot Public Endpoint Probe · 2026-10-19T00:07:15Z

SHA-256 of the retained capture file bytes.

d1d8fcf98217a5ad3081c637e73d5b5df337050fc5abdd2dd2f32828a9bc3567

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

Official source ↗

Satzungen und Ordnungen | TUM Central Registry

www.tum.de

University official source

Technical University of Munich

Hash and captured version

Satzungen und Ordnungen | TUM Central Registry · 2026-10-19T01:08:31Z

SHA-256 of the retained capture file bytes.

25321ff95987b4b146a5158cc897959104b39664d5466ed73b96ad6d1d428f1c

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

Official source ↗

Public Policy Snapshot Contract Probe (TUM)

eduaipolicy.org

University official source

University AI Policy Tracker

Hash and captured version

Public Policy Snapshot Contract Probe (TUM) · 2026-10-19T01:08:21Z

SHA-256 of the retained capture file bytes.

d1d8fcf98217a5ad3081c637e73d5b5df337050fc5abdd2dd2f32828a9bc3567

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

Official source ↗

TUM Satzungsdatenbank - Filter Allgemeine Prüfungs- und Studienordnung (Seite 1, Einträge 1-9)

www.tum.de

University official source

Technical University of Munich

Hash and captured version

TUM Satzungsdatenbank - Filter Allgemeine Prüfungs- und Studienordnung (Seite 1, Einträge 1-9) · 2026-10-19T01:46:27Z

SHA-256 of the retained capture file bytes.

5f8e008ed02c7a6f5e74365a8b16ac9c5084dbc224637a00313cb6bb6329474b

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

Official source ↗

TUM Satzungsdatenbank - Blättern Allgemeine Prüfungs- und Studienordnung (Seite 2, Einträge 10-18)

www.tum.de

University official source

Technical University of Munich

Hash and captured version

TUM Satzungsdatenbank - Blättern Allgemeine Prüfungs- und Studienordnung (Seite 2, Einträge 10-18) · 2026-10-19T01:46:32Z

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

5d852cb491fdf6d33343e4d4d7bc95834c9f31db966f498e5d96110329b52933

TUM Satzungsdatenbank - Blättern Allgemeine Prüfungs- und Studienordnung (Seite 3, Einträge 19-27) · 2026-10-19T01:46:34Z

SHA-256 of the retained capture file bytes.

d84db01ea8704657397fee68d612400cfce64e94fafb212c359427c4ff0e1988

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

Official source ↗

Lesbare Fassung der ALLGEMEINEN PRÜFUNGS- UND STUDIENORDNUNG für Bachelor- und Masterstudiengänge an der Technischen Universität München in der Fassung der 12. Änderungssatzung vom 16. Dezember 2025

www.tum.de

University official source

Technical University of Munich

Hash and captured version

Lesbare Fassung der ALLGEMEINEN PRÜFUNGS- UND STUDIENORDNUNG für Bachelor- und Masterstudiengänge an der Technischen Universität München in der Fassung der 12. Änderungssatzung vom 16. Dezember 2025 · 2026-10-19T01:44:40Z

SHA-256 of the retained capture file bytes.

ef47d77442d3b97d9afb3e3e9a90f2ed288e059d6bcfdd1e4464e39065644311

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
qs20-24-v6-r6-20261020
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.

          Current reviewed JSON
          Questions students ask

          Questions students ask

          Can I use AI for my coursework?

          TUM ProLehre student guidance specifies that generative AI tools may be used for written coursework, term papers, essays, and theses only when AI tool use is explicitly permitted for that specific assessment by the instructor or module specifications. Where instructions are silent, students should ask in advance rather than assuming permission. When authorized, transparent documentation of tool use and prompts is commonly required, and students retain full personal responsibility for submitted work.

          View evidence →
          Do I need to disclose AI use?

          When generative AI tool use is authorized, transparent documentation of tool use, methods, and prompts is commonly required and course-conditioned; students retain full personal responsibility for all submitted work. The Chair of Marketing and Consumer Research guidelines require a signed AI declaration for theses and seminar papers, including a formal non-use declaration if no AI was used.

          View evidence →
          Can I upload sensitive data?

          TUM ProLehre guidance instructs students and instructors not to enter personal, sensitive, or confidential data into AI tools, which applies also to TUM-approved systems. In addition, teaching and study materials (such as lecture slides, scripts, recordings, or past exams) are protected intellectual property and require explicit instructor consent before being uploaded to or processed in AI tools, even when used solely for personal study purposes like summarization, transcription, or translation.

          View evidence →
          Which tools can I access?

          TUM provides M365 Copilot Chat through TUMonline activation, but tool activation does not establish assessment permission or authorization to enter personal, sensitive, or confidential data. ProLehre highlights Chat-AI by AcademicCloud as a privacy-friendly option hosted on German university servers, but reviewed sources do not establish individual account eligibility or licensing guarantees.

          View evidence →
          What are the examination rules?

          Examinations prohibit unauthorized generative AI assistance. Under the reviewed APSO reading version, suitable software may check unacknowledged text or sources, while the examiner determines whether deception occurred. Under APSO § 24(6), an examination failed due to § 22 deception or disruption may be retaken only once. Severe or repeated deception or disruption may lead to degree-program exclusion under § 22(3); these are general examination provisions rather than an AI-specific sanction schedule.

          View evidence →
          What rules apply to research and publication?

          TUM SGwP statutes establish research integrity standards requiring research data retention on durable secure media, ordinarily for 10 years from publication unless justified shorter periods or discipline-specific standards apply. Guidelines from the MKT Chair permit AI as a research aid for theses but prohibit AI empirical data collection and analysis unless explicitly approved by the supervisor.

          View evidence →
          What counts as academic misconduct?

          Under the reviewed APSO reading version, attempted deception in examinations or coursework results in an assessment grade of 5.0 (fail). A failed examination resulting from deception or disruption may be retaken only once under § 24(6). Under § 25(3), a candidate may inspect examination files upon reasoned written application to the examination board chair within 1 month of grade announcement, with time and place determined by the chair with the examiner. Under § 21, procedural defects must be raised promptly in writing. Formally published enactments remain legally authoritative over the reading consolidation. The inspection window is not a deadline for disciplinary or administrative appeals, which remain unreviewed.

          View evidence →
          What guidance applies to teaching?

          TUM ProLehre teaching guidance advises instructors to exercise their broad pedagogical discretion by basing AI-use decisions on intended learning outcomes, evaluating whether AI supports, complements, or hinders core competencies. Guidance recommends didactically grounding course rules, communicating expectations transparently, and providing targeted student training on AI functions, limitations, bias recognition, and critical evaluation of AI outputs.

          View evidence →
          What security and procurement requirements apply?

          Central IT security review protocols, vendor assessment criteria, and institutional procurement standards for third-party artificial intelligence tools are not established in current public records.

          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?

          14 · Full policy evidence

          Full policy evidence →
          Technical University of Munich AI Policy