Berlin, Germany

Technische Universität Berlin (TU Berlin)

Technische Universität Berlin (TU Berlin) is listed as QS 2026 rank 145. Technische Universität Berlin (TU Berlin) has 8 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Technische Universität Berlin (TU Berlin) is listed as QS 2026 rank 145. Technische Universität Berlin (TU Berlin) has 8 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Technische Universität Berlin (TU Berlin) as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/technische-universitat-berlin.json. The entity-level confidence is 96%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage8 reviewedSource languagedePublic JSON/api/public/v1/universities/technische-universitat-berlin.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Research claims.
  • Evidence includes AI tool treatment claims.
  • Named AI services detected in public claims: ChatGPT.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims8Reviewed8Candidate0Official sources6

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page 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.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Coursework

Technische Universität Berlin (TU Berlin) has 1 source-backed public claim for coursework; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence77%Evidence1Sources1

Approved tools

Technische Universität Berlin (TU Berlin) has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

Security and procurement

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

8 reviewed evidence-backed public claim

Privacy

TU Berlin's living AI guidelines say personal data may be entered into generative AI tools only when the operator neither makes the data accessible to third parties nor uses it as training data; confidential information, sensitive research data, and internal documents are not permitted inputs.

Review: Agent reviewedConfidence96%

Normalized value: personal_confidential_sensitive_data_restricted_in_generative_ai_tools

Original evidence

Evidence 1
Jedoch dürfen personenbezogene Daten nur in generative KI-Tools eingegeben werden, wenn die Softwarebetreiber diese Daten weder Dritten zugänglich machen noch als Trainingsdaten nutzen. Über den Datenschutz hinaus ist auch die Eingabe vertraulicher Informationen, sensibler Forschungsdaten oder interner Dokumente nicht zulässig.

Localized display only

Personal data can be entered only if the provider does not expose it to third parties or use it for training; confidential, sensitive research, or internal material is not permitted.

Academic Integrity

TU Berlin examination guidance states a general documentation duty when AI is used for assignments: students should identify the tools, extent, purpose, marked AI content, prompts, and their own contribution.

Review: Agent reviewedConfidence95%

Normalized value: ai_use_must_be_documented_for_assignments

Original evidence

Evidence 1
Generell gilt eine Pflicht zur Dokumentation, wenn Sie KI zur Bearbeitung von Aufgaben verwenden: Geben Sie stets an, welche Tools Sie genutzt haben, in welchem Umfang und zu welchem Zweck ... Falls Sie KI-Inhalte ... verwenden, kennzeichnen Sie diese und benennen Sie die verwendeten Prompts.

Localized display only

The page sets a documentation duty for AI use in assignments, including tools, extent, purpose, marked AI content, and prompts.

Teaching

TU Berlin's living AI guidelines say fully automated assessment of study or examination performance is not permissible; AI output may not be adopted one-to-one and digital tools such as AI may serve only as aids.

Review: Agent reviewedConfidence95%

Normalized value: fully_automated_assessment_not_permissible_ai_only_as_aid

Original evidence

Evidence 1
Eine vollständig automatisierte Bewertung von Studien- oder Prüfungsleistungen ist nicht zulässig (basierend auf Art. 22 DSGVO). Das heißt, der Output darf nicht eins zu eins übernommen werden, sondern digitale Tools wie KI dürfen nur als Hilfsmittel dienen.

Localized display only

Fully automated grading of study or exam performance is not permissible; AI may serve only as an aid.

Academic Integrity

TU Berlin examination guidance tells students they remain fully responsible for all AI-generated content; errors or inaccuracies in AI output count as the student's errors, and AI may support work but may not take over the actual work.

Review: Agent reviewedConfidence94%

Normalized value: students_responsible_for_ai_output_ai_may_support_not_replace_work

Original evidence

Evidence 1
Für alle durch KI generierten Inhalte tragen Sie die volle Verantwortung. Fehler oder Ungenauigkeiten in KI-Ergebnissen gelten als Ihre Fehler und nicht die des Tools. KI kann Sie unterstützen – etwa bei Ideenfindung, Recherche oder Strukturierung – darf aber nicht die eigentliche Arbeit übernehmen.

Localized display only

Students are fully responsible for AI-generated content; AI can support idea generation, research, or structuring but must not take over the actual work.

Academic Integrity

For final and seminar papers, TU Berlin examination guidance says AI-supported passages must be marked, except spelling checks and stylistic improvements, and that use of AI tools must be discussed with the supervisor.

Review: Agent reviewedConfidence94%

Normalized value: thesis_ai_supported_passages_marked_supervisor_discussion_required

Original evidence

Evidence 1
Alle durch KI unterstützten Passagen müssen kenntlich gemacht sein (z. B. durch Fußnote) – Ausgenommen sind Rechtschreibprüfungen und stilistische Verbesserungen. ... In jedem Fall müssen Sie die Verwendung von KI-Tools mit Ihrer:m Betreuer:in absprechen!

Localized display only

AI-supported passages in final/seminar papers must be marked, with spelling and stylistic improvements excepted; AI-tool use must be discussed with the supervisor.

Research

TU Berlin's living AI guidelines say that if AI results are adopted in scientific work, they must be checked for content, revised, and labeled; uses without relevance to learning or epistemic work, such as grammar, style, spelling, or translation, usually do not need to be declared.

Review: Agent reviewedConfidence93%

Normalized value: adopted_ai_results_checked_revised_labeled_irrelevant_uses_often_exempt

Original evidence

Evidence 1
Wenn jedoch KI-Ergebnisse übernommen werden sollen, müssen diese inhaltlich geprüft, überarbeitet und gekennzeichnet werden. ... KI-Nutzungen ohne Relevanz ... müssen meistens nicht angegeben werden („beispielsweise Grammatik-, Stil-, Rechtschreibprüfung, Übersetzungsprogramme“ ...).

Localized display only

AI results adopted in scientific work must be checked, revised, and labeled; grammar/style/spelling/translation uses usually need not be declared.

Ai Tool Treatment

TU Berlin's ChatGPT Edu pilot page describes scoped institutional access: the pilot began with Faculty VII, lists EU-server use, TUB-account/pseudo-ID login, and research/teaching/administration use, and says the licenses were extended with all faculties participating and 790 licenses total.

Review: Agent reviewedConfidence90%

Normalized value: chatgpt_edu_pilot_scoped_access_eu_servers_tub_account_790_licenses

Original evidence

Evidence 1
Datenschutzkonforme Nutzung auf Servern innerhalb der EU; Sichere Anmeldung mit TUB-Account und Pseudo-ID; Nutzung in Forschung, Lehre & Verwaltung erlaubt ... Die Lizenzen werden um ein weiteres Jahr verlängert ... alle anderen Fakultäten der TU Berlin beteiligt und die Gesamtzahl der Lizenzen auf 790 erhöht.

Localized display only

The page presents scoped ChatGPT Edu access with EU servers, TUB account/pseudo-ID login, use in research/teaching/admin, and 790 licenses after extension.

Privacy

TU Berlin's data-protection blog recommends limiting personal data in ChatGPT, not sharing confidential information, avoiding personal data especially about third parties, and disabling chat history because otherwise communication is stored long term and may feed training data depending on settings.

Review: Agent reviewedConfidence90%

Normalized value: chatgpt_privacy_recommendations_limit_personal_confidential_data_disable_history

Original evidence

Evidence 1
Geben Sie nur wenige persönliche Daten preis ... Vertrauliche Informationen sollten nicht über chatGPT geteilt werden. ... sollten keine personenbezogenen Daten (insbesondere Dritter!) an chatGPT übermittelt werden. ... Chathistorie deaktiviert werden, denn andernfalls wird die Kommunikation langfristig gespeichert und fließt je nach gewählten Einstellungen als Trainingsdaten mit ein.

Localized display only

The data-protection blog recommends limiting personal/confidential ChatGPT inputs and disabling chat history to reduce long-term storage and training-data use.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

6 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 14, 2026Last changedMay 14, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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