Policy presence
Riga Technical University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Riga, Latvia
Riga Technical University has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
v1 public contract
Riga Technical University has 4 source-backed AI policy claims from 3 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 20, 2026. Discovery context: Riga Technical University is listed as QS 2026 rank 761-770.
As of this public record, University AI Policy Tracker lists Riga Technical University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 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/riga-technical-university.json. The entity-level confidence is 84%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Riga Technical University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Riga Technical University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Riga Technical University has 2 source-backed public claims for coursework; deterministic analysis status: blocked.
Riga Technical University has 2 source-backed public claims for exams; deterministic analysis status: blocked.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Riga Technical University has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Riga Technical University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
4 reviewed evidence-backed public claim
Research
Normalized value: scriptus_manet_journal_ai_disclosure_required_scholarly_generation_prohibited_auxiliary_uses_allowed
Original evidence
Evidence 1The Journal "Scriptus Manet" mandates the transparent disclosure of any utilization of artificial intelligence (AI) tools in manuscript preparation ... The utilization of AI tools for the generation of scholarly content, encompassing the development of ideas, arguments, interpretations, data, or conclusions, is prohibited.
Academic Integrity
Normalized value: fcsite_thesis_ai_content_limited_and_excluded_from_original_contribution_sections
Original evidence
Evidence 1Artificial intelligence tools can be used to generate content for the graduation thesis in case: a) it is not related to the skills and knowledge that the student is required to demonstrate ... c) it is authorized or supported by the study program ... The use of such tools is also not allowed for the formulation of the goal, tasks, and conclusions of the thesis.
Research
Normalized value: scriptus_manet_authors_accountable_for_integrity_regardless_of_ai_usage
Original evidence
Evidence 1The author(s) are entirely accountable for the accuracy, originality, and integrity of all content within the submitted manuscript, including sections generated with the aid of AI tools. Authors remain ethically and legally accountable for issues such as plagiarism, data validity, and research transparency, regardless of AI usage.
Academic Integrity
Normalized value: fcsite_thesis_guidelines_include_generative_ai_reference_format_and_response_screenshot
Original evidence
Evidence 1Correct referencing methods regarding the content generated by artificial intelligence tools are given in Appendix 7 of these guidelines. In the appendices to the graduation thesis, the student should include a screenshot of the response provided by the artificial intelligence tool.
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.
3 source attribution
ebooks.rtu.lv
sm-journals.rtu.lv
sm-journals.rtu.lv
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