Riga, Latvia

Riga Technical University

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.

Riga Technical University AI policy short answer

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.

Citation-ready summary

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.

Claim coverage4 reviewedSource languageenPublic JSON/api/public/v1/universities/riga-technical-university.json

Policy signals in this record

  • Evidence includes Research claims.
  • Evidence includes Academic integrity 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

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.

Coverage score65/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence70%

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

Riga Technical University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence71%Evidence1Sources1

Privacy and data entry

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Teaching guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

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

Research

The RTU-hosted Scriptus Manet journal policy requires transparent disclosure of AI-tool use in manuscript preparation, prohibits AI tools from generating scholarly content such as ideas, arguments, interpretations, data, or conclusions, and allows auxiliary technical uses such as editing, translation, corpus analysis, and visualization.

Review: Agent reviewedConfidence84%

Normalized value: scriptus_manet_journal_ai_disclosure_required_scholarly_generation_prohibited_auxiliary_uses_allowed

Original evidence

Evidence 1
The 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

RTU FCSITE graduation-thesis guidelines allow artificial-intelligence-generated thesis content only in limited cases and state that use is not allowed for thesis goals, tasks, conclusions, or original solution content.

Review: Agent reviewedConfidence82%

Normalized value: fcsite_thesis_ai_content_limited_and_excluded_from_original_contribution_sections

Original evidence

Evidence 1
Artificial 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

The RTU-hosted Scriptus Manet journal policy states that authors remain accountable for accuracy, originality, integrity, plagiarism, data validity, and research transparency regardless of AI usage.

Review: Agent reviewedConfidence82%

Normalized value: scriptus_manet_authors_accountable_for_integrity_regardless_of_ai_usage

Original evidence

Evidence 1
The 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

RTU FCSITE graduation-thesis guidelines give a reference-formatting category for generative artificial intelligence tools and say a screenshot of the artificial-intelligence tool response should be included in the thesis appendices.

Review: Agent reviewedConfidence78%

Normalized value: fcsite_thesis_guidelines_include_generative_ai_reference_format_and_response_screenshot

Original evidence

Evidence 1
Correct 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.

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

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.

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

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.

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