Policy presence
Universität Potsdam has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Potsdam, Germany
Universität Potsdam
Universität Potsdam is listed as QS 2026 rank =477. Universität Potsdam has 7 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universität Potsdam is listed as QS 2026 rank =477. Universität Potsdam has 7 source-backed AI policy claim records from 5 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 Universität Potsdam as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universitat-potsdam.json. The entity-level confidence is 95%. 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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity 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.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
Universität Potsdam has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Universität Potsdam has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Universität Potsdam has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Universität Potsdam has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universität Potsdam has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Universität Potsdam has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Universität Potsdam has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universität Potsdam has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
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.
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.
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
7 reviewed evidence-backed public claim
Privacy
The position paper says students and teaching staff cannot be obliged or asked to use ChatGPT unless technical and organizational measures prevent OpenAI from processing their personal data, and prompts must not contain personal or confidential university information.
Review: Agent reviewed
Normalized value: commercial_ai_use_not_required_without_privacy_measures
Original evidence
Evidence 1Dies bedeutet, dass Studierende und Lehrende nicht verpflichtet oder gebeten werden können, ChatGPT einzusetzen, es sei denn, es kann durch technische und organisatorische Maßnahmen sichergestellt werden, dass ihre personenbezogenen Daten bei der Nutzung durch OpenAI nicht verarbeitet werden können.
Localized display only
Students and instructors cannot be required or asked to use ChatGPT unless safeguards ensure OpenAI cannot process their personal data.
Teaching
Universität Potsdam's adopted AI teaching position paper supports the use of generative AI in teaching so students can develop reflective use for future professional practice.
Review: Agent reviewed
Normalized value: supports_reflective_generative_ai_use_in_teaching
Original evidence
Evidence 1Grundsätzlich befürwortet die Universität Potsdam den Einsatz auch von generativer KI in der Lehre, um einen reflektierten Einsatz für die zukünftige Berufspraxis der Studierenden zu gewährleisten.
Localized display only
The University of Potsdam supports generative AI in teaching to support reflective use for students' future professional practice.
Academic Integrity
The 2026 AI-and-examinations handbook states that AI detectors are not reliable and do not provide legally secure proof of deception.
Review: Agent reviewed
Normalized value: ai_detectors_not_legally_secure_proof
Original evidence
Evidence 1KI-Detektoren sind nicht zuverlässig und liefern keine rechtssicheren Beweise, da sie lediglich die statistische Wahrscheinlichkeit bewerten.
Localized display only
AI detectors are not reliable and do not provide legally secure proof because they assess only statistical probability.
Ai Tool Treatment
The official e-assessment AI page says using AI such as GPT.UP may not be a condition for passing an assessment, and AI should not be used by instructors for full creation and grading of summative examinations.
Review: Agent reviewed
Normalized value: ai_not_condition_to_pass_and_not_full_summative_grading
Original evidence
Evidence 1Der Einsatz von KI (wie z.B. GPT.UP) darf keine Bedingung zum Bestehen einer Prüfungsleistung sein. KI (wie z.B. GPT.UP) sollte von Lehrenden nicht zur vollumfänglichen Erstellung und Bewertung summativer Prüfungen verwendet werden.
Localized display only
Using AI such as GPT.UP may not be a condition for passing an assessment, and instructors should not use it for full creation and grading of summative exams.
Academic Integrity
The 2026 AI-and-examinations handbook advises examiners to state early and in writing whether and how AI may be used in a course and assessment, and to use transparency rules when AI is allowed or cannot be explicitly excluded.
Review: Agent reviewed
Normalized value: ai_use_in_assessments_should_be_defined_and_documented
Original evidence
Evidence 1Es ist daher notwendig, frühzeitig (idealerweise zu Semesterbeginn) und schriftlich zu präzisieren, ob und in welcher Form KI in der Lehrveranstaltung und in der Prüfung verwendet werden darf.
Localized display only
Examiners should specify early and in writing whether and how AI may be used in the course and assessment.
Ai Tool Treatment
The official GPT.UP page says GPT.UP has been available to all members of the University of Potsdam since 14 October 2024, with login through the UP account.
Review: Agent reviewed
Normalized value: gptup_available_to_all_up_members
Original evidence
Evidence 1GPT.UP wurde am Montag, den 14.10.2024, freigeschaltet und steht seitdem allen Angehörigen der UP zur Verfügung. Der Login erfolgt über den UP-Account.
Localized display only
GPT.UP has been available to all UP members since 14 October 2024, with login through the UP account.
Privacy
The ZfQ AI-in-teaching page says GPT.UP is available to University of Potsdam members and that its use ensures AI providers do not process students' personal data and student data is processed only for university-defined teaching purposes.
Review: Agent reviewed
Normalized value: gptup_privacy_for_teaching_use
Original evidence
Evidence 1GPT.UP steht allen Angehörigen der Universität Potsdam zur Verfügung. Die Verwendung stellt sicher, dass die KI-Anbieter keine personenbezogenen Daten der Studierenden (Login-Daten, Metadaten) verarbeiten.
Localized display only
GPT.UP is available to University of Potsdam members and is presented as preventing AI providers from processing students' personal data.
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
5 source attribution
GPT.UP
uni-potsdam.de
Handreichung KI und Prüfungen an der Universität Potsdam
uni-potsdam.de
KI im E-Assessment
uni-potsdam.de
Künstliche Intelligenz in der Lehre
uni-potsdam.de
Positionspapier KI in der Hochschullehre an der Universität Potsdam
uni-potsdam.de
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.
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.