Policy presence
Technical University of Munich has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Munich, Germany
Technical University of Munich has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Technical University of Munich has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Technical University of Munich has 5 source-backed public claims for exams; deterministic analysis status: restricted.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Technical University of Munich has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Technical University of Munich has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Technical University of Munich has 2 source-backed public claims for named ai services; deterministic analysis status: allowed.
Technical University of Munich has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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.
Technical University of Munich
Technical University of Munich
7 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: {"tool":"grammarly","rawToolName":"Grammarly","description":"Writing-assistance service listed by TUM.","howToObtain":"See TUM's Grammarly wiki information.","costToUser":"Not specified.","availability":"allowed","endorsementType":"officially_endorsed"}
Evidencia original
Evidence 1TUM's Digitalization Strategy page says that, starting May 2023, Grammarly is available to all members of TUM and directs users to its TUM wiki for further information.
Vista localizada only
TUM's Digitalization Strategy page says that, starting May 2023, Grammarly is available to all members of TUM and directs users to its TUM wiki for further information.
Ai Tool Treatment
Normalized value: {"tool":"microsoft_copilot","rawToolName":"M365 Copilot Chat","description":"TUM-wide Microsoft Copilot Chat service.","howToObtain":"Activate it in TUMonline.","costToUser":"Not specified.","availability":"allowed","endorsementType":"officially_endorsed"}
Evidencia original
Evidence 1TUM's Digitalisierungsstrategie page says the Microsoft M365 suite is available to all employees and students under a completed service agreement. It says use of M365 Copilot Chat is officially released and both services can be used after activation in TUMonline.
Vista localizada only
TUM's Digitalisierungsstrategie page says the Microsoft M365 suite is available to all employees and students under a completed service agreement. It says use of M365 Copilot Chat is officially released and both services can be used after activation in TUMonline.
Teaching
Normalized value: instructors_decide_ai_use_in_teaching
Evidencia original
Evidence 1Dozierende an der TUM haben dabei einen großen Entscheidungsspielraum (siehe TUM AI Strategy). Damit geht zugleich für Sie als Dozierende die Verantwortung einher, Regelungen didaktisch fundiert zu treffen und für Studierende nachvollziehbar zu kommunizieren.
Teaching
Normalized value: clearly_specify_allowed_and_disallowed_ai_use
Evidencia original
Evidence 1Falls eine Anpassung des Formats nicht möglich ist, legen Sie klar fest, o wofür KI genutzt werden darf, o wofür nicht und o reden Sie mit Ihren Studierenden darüber.
Teaching
Normalized value: learning_outcomes_first_ai_assessment_design
Evidencia original
Evidence 1Nehmen Sie als Ausgangspunkt für Ihre Entscheidung die angestrebten Lernergebnisse, die Ihre Studierenden in Ihrer Lehrveranstaltung erwerben sollen – und ob der Einsatz von KI das Erreichen dieser Kompetenzen fördert, ergänzt oder behindert.
Academic Integrity
Normalized value: ai_use_control_difficult_design_assessments
Evidencia original
Evidence 1Eine 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.
Teaching
Normalized value: train_students_on_ai_limits_biases_misinformation
Evidencia original
Evidence 1In vielen Fällen ist es wichtig, Studierende gezielt darin zu schulen, wie ein kompetenter Umgang mit KI aussieht - insbesondere dann, wenn es ein explizites Lernergebnis des Moduls ist. Üben Sie in diesem Fall mit Ihren Studierenden u.a. folgende Aspekte: o o o die Funktionsweise, Grenzen und häufige Fehler von KI benennen und beschreiben, Biases und Fehlinformationen erkennen, sowie KI-Ergebnissen kritisch bewerten und überarbeiten können.
0 machine or needs-review claim
3 source attribution
prolehre.tum.de
digitalisierung.tum.de
digitalisierung.tum.de