Prague, Czechia

Czech Technical University in Prague

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage6 reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3Source languageenPublic JSON/api/public/v1/universities/czech-technical-university-in-prague.json

Policy profile

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

AI disclosure

Czech Technical University in Prague has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

Czech Technical University in Prague has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence79%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

AI tools

Derived tool records1

AI tools

Czech Technical University in Prague

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed
Sources

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 reviewedConfidence95%

Normalized value: current_central_ai_methodological_guideline

Original evidence

Evidence 1
Current 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 reviewedConfidence94%

Normalized value: ai_use_must_be_defined_by_programme_subject_and_ethics_rules

Original evidence

Evidence 1
The 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 reviewedConfidence94%

Normalized value: unacknowledged_ai_outputs_in_thesis_are_plagiarism

Original evidence

Evidence 1
Prohibited 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 reviewedConfidence93%

Normalized value: ai_tools_create_privacy_confidentiality_risks

Original evidence

Evidence 1
The 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 reviewedConfidence91%

Normalized value: ai_use_restricted_for_exams_tests_homework

Original evidence

Evidence 1
Using 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 reviewedConfidence90%

Normalized value: teachers_should_publish_subject_ai_rules

Original evidence

Evidence 1
If 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

Official sources

3 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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