Policy presence
Czech Technical University in Prague has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Prague, Czechia
Czech Technical University in Prague
Czech Technical University in Prague is listed as QS 2026 rank =416. Czech Technical University in Prague has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Czech Technical University in Prague is listed as QS 2026 rank =416. Czech Technical University in Prague has 6 source-backed AI policy claim records from 3 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 Czech Technical University in Prague as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/czech-technical-university-in-prague.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 Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related 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
Czech Technical University in Prague has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Czech Technical University in Prague has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Czech Technical University in Prague has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Czech Technical University in Prague has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
Czech Technical University in Prague has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Czech Technical University in Prague has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Czech Technical University in Prague has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Czech Technical University in Prague has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Czech Technical University in Prague has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
6 reviewed evidence-backed public claim
Source Status
Czech Technical University in Prague has a current central methodological guideline for framework rules on generative AI use by bachelor and follow-up master students and teachers.
Review: Agent reviewed
Normalized value: current_central_ai_methodological_guideline
Original evidence
Evidence 1Current version: Methodical guideline No. 5/2023 - Framework rules for the use of artificial intelligence at CTU for study and pedagogical purposes in Bachelor and continuing Masters studies. Issued on: 29.01.2024. Effective as of: 29.01.2024. Valid as of: 19.02.2024.
Ai Tool Treatment
For bachelor and follow-up master study at CTU, AI-tool use in fulfilling programme and subject requirements must be clearly defined and described and must comply with the relevant programme, subject, and thesis-ethics rules.
Review: Agent reviewed
Normalized value: ai_use_must_be_defined_by_programme_subject_and_ethics_rules
Original evidence
Evidence 1The use of AI tools in fulfilling the requirements of study programmes and individual subjects must always be clearly defined and described ... and must comply with the rules of the given study programme and the given subjects and the Methodological Guideline on Adherence to Ethical Principles in Preparation of Graduation Theses.
Academic Integrity
CTU's graduation-thesis ethics guideline treats failure to acknowledge and document AI-tool text or other AI outcomes in a thesis, while presenting them as one's own, as plagiarism.
Review: Agent reviewed
Normalized value: unacknowledged_ai_outputs_in_thesis_are_plagiarism
Original evidence
Evidence 1Prohibited ways of working with information sources: Plagiarism ... not acknowledging and documenting the use of text or other outcomes of AI tools in the thesis and presenting them as one's own.
Privacy
CTU's AI framework identifies sharing sensitive research data, personal data, and contractually concealed data with AI tools as significant cyber risks and states that AI cannot keep confidentiality or protect personal data.
Review: Agent reviewed
Normalized value: ai_tools_create_privacy_confidentiality_risks
Original evidence
Evidence 1The use of AI can present significant cyber risks. The most significant risks include the sharing of: sensitive data from ongoing or completed research; personal data ...; data created within the framework of contractual research under an agreement on data concealment. AI is not able to keep confidentiality of shared information or protect personal data.
Academic Integrity
CTU's AI framework marks AI use for examinations, tests, and homework as not appropriate for students unless teacher instructions or the assessment design clearly allow it.
Review: Agent reviewed
Normalized value: ai_use_restricted_for_exams_tests_homework
Original evidence
Evidence 1Using AI in other stages of learning: Doing examinations and tests - NO ... A breach of the rules may result in penalization in accordance with the Disciplinary Code for Students of CTU. Homework - NO ... When using AI tools, students must follow their teacher's instructions.
Teaching
Where AI use is relevant for a CTU subject, teachers should set and publish clear subject-level rules for AI use, including the justification for those rules.
Review: Agent reviewed
Normalized value: teachers_should_publish_subject_ai_rules
Original evidence
Evidence 1If relevant for the given subject, teachers should set and publish on the website of the subject clear rules for the use of AI in their subjects, including the justification of these rules so that students understand why the rules are set the way they are.
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
3 source attribution
Framework Rules for the Use of Artificial Intelligence at CTU for Study and Teaching Purposes in Bachelor and Follow-up Master Studies
cvut.cz
Legislation and Study Regulations - Public web - Czech technical university in Prague
cvut.cz
Methodological guideline on Adherence to Ethical Principles in Preparation of Graduation Theses
cvut.cz
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.