Policy presence
Palacký University Olomouc has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Olomouc, Czechia
Palacký University Olomouc
Palacký University Olomouc has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 18, 2026.
Palacký University Olomouc AI policy short answer
v1 public contract
Palacký University Olomouc has 4 source-backed AI policy claims from 2 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: Palacký University Olomouc is listed as QS 2026 rank =668.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Palacký University Olomouc as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/palacky-university-olomouc.json. The entity-level confidence is 91%. 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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- 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
Palacký University Olomouc has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Palacký University Olomouc has 3 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Palacký University Olomouc has 3 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
Palacký University Olomouc has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Palacký University Olomouc has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
Approved tools
Palacký University Olomouc has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Palacký University Olomouc has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Palacký University Olomouc has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Palacký University Olomouc 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
4 reviewed evidence-backed public claim
Academic Integrity
UP's recommendations state that generative AI use in professional texts and other creative work must be declared, and that staff and students may not claim authorship of texts or other creative outputs generated using AI.
Review: Agent reviewed
Normalized value: Declare generative AI use in professional or creative work; do not claim authorship of AI-generated outputs.
Original evidence
Evidence 1The use of generative AI in professional texts and other creative work, including artistic output, must be declared. Neither staff nor students may claim to be the authors of texts and other creative outputs generated using AI.
Localized display only
UP says generative AI use in professional or creative work must be declared and AI-generated outputs may not be claimed as one's own authorship.
Privacy
UP's recommendations warn that personal data, sensitive information, and potential UP intellectual property entered into AI systems must be handled responsibly because such data is usually made available to a third party and control over it may be lost.
Review: Agent reviewed
Normalized value: Handle personal data, sensitive information, and intellectual property responsibly when using AI systems.
Original evidence
Evidence 1When using AI, personal data and other sensitive information (such as potential UP intellectual property) that is fed into AI systems must be handled responsibly. It should be understood that such data is usually made available to a third party and that the owner then loses control over it.
Localized display only
UP warns that data entered into AI systems is usually made available to a third party and may leave the owner's control.
Ai Tool Treatment
UP's generative AI recommendations state that AI systems at Palacky University Olomouc must be used in compliance with UP ethical principles and as tools to improve knowledge, skills, teaching, research, management, administration, or editing rather than as a full replacement for creative activity.
Review: Agent reviewed
Normalized value: AI use must align with UP ethical principles and responsible tool use.
Original evidence
Evidence 1All AI systems (generative or otherwise) at UP must be used in such a way as to comply with the ethical principles of UP as defined by the Code of Ethics for UP staff and students
Localized display only
UP says AI systems must comply with UP ethical principles for staff and students.
Teaching
UP's recommendations say that if an educator uses AI in any form of assessment of student activities, such as evaluating written work, the assessment should include the educator's own assessment and not be made solely by AI.
Review: Agent reviewed
Normalized value: AI-supported student assessment should include educator assessment and not rely solely on AI.
Original evidence
Evidence 1if an educator decides to use AI in any form of assessment of students' activities (e.g. evaluation of their written works), it should always include the educator's own assessment, not one made solely by AI.
Localized display only
UP says AI-supported assessment should include the educator's own assessment and not be solely AI-made.
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
2 source attribution
UP's recommendations for the use of generative AI models
upol.cz
Uzitecne informace
pdf.upol.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.