Policy presence
University of Latvia has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Riga, Latvia
University of Latvia
University of Latvia has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.
University of Latvia AI policy short answer
v1 public contract
University of Latvia has 5 source-backed AI policy claims from 2 official source attributions, including 5 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: University of Latvia is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Latvia as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 5 source-backed claims, including 5 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/university-of-latvia.json. The entity-level confidence is 94%. 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 Teaching claims.
- No specific AI service name is highlighted by the current 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
University of Latvia has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of Latvia has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Latvia has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Latvia has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
University of Latvia has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
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.
Named AI services
University of Latvia has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
Teaching guidance
University of Latvia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
5 reviewed evidence-backed public claim
Academic Integrity
University of Latvia's 2026 AI regulations require students to clearly indicate AI use in their work.
Review: Agent reviewed
Normalized value: student_ai_use_disclosure_required
Original evidence
Evidence 1Studējošajiem būs pienākums skaidri norādīt MI izmantošanas faktu savos darbos, savukārt docētājiem – definēt, kādos gadījumos un kādā apjomā MI izmantošana konkrētajā studiju kursā ir pieļaujama.
Localized display only
Students will have a duty to clearly indicate the fact of AI use in their work, while teaching staff define when and to what extent AI use is permitted in a course.
Privacy
University of Latvia's 2026 AI regulations prohibit students and teaching staff from uploading restricted-access information or study materials to AI tools without a UL-purchased licence or official university implementation.
Review: Agent reviewed
Normalized value: restricted_information_upload_prohibited_without_ul_license_or_official_tool
Original evidence
Evidence 1Studējošajiem un docētājiem būs aizliegts augšupielādēt ierobežotas pieejamības informāciju vai studiju materiālus MI rīkos, kuriem LU nav iegādāta licence vai kas Universitātē nav ieviesti oficiāli.
Localized display only
Students and teaching staff will be prohibited from uploading restricted-access information or study materials to AI tools without a UL-purchased licence or official university implementation.
Academic Integrity
University of Latvia's 2026 AI regulations state that generative-AI content detection tool results cannot be the sole basis for evaluating a student's work or proving an academic-integrity breach.
Review: Agent reviewed
Normalized value: ai_detector_not_sole_basis
Original evidence
Evidence 1Ģeneratīvā MI satura atpazīšanas rīku rezultāti nevarēs tikt izmantoti kā vienīgais pamatojums studējošā darba vērtēšanā vai kā pierādījums akadēmiskā godīguma pārkāpumam.
Localized display only
Generative-AI content detection tool results cannot be used as the sole basis for evaluating student work or as evidence of an academic-integrity violation.
Academic Integrity
University of Latvia treats prohibited or unauthorised AI-tool use in the study process as use of unauthorised aids and a breach of academic integrity.
Review: Agent reviewed
Normalized value: unauthorized_ai_academic_integrity_breach
Original evidence
Evidence 1Prohibited or unauthorised use of AI tools in the study process is considered the use of unauthorised aids which is a breach of academic integrity.
Localized display only
Unauthorised AI-tool use in the study process is treated as unauthorised aids and a breach of academic integrity.
Teaching
University of Latvia teaching staff can permit or prohibit AI-tool use in a study course depending on course goals and intended study results.
Review: Agent reviewed
Normalized value: course_level_instructor_permission
Original evidence
Evidence 1Teaching staff of the UL can permit or prohibit the use of AI tools in their study course. The use of AI tools depends on the intended goals and study results of each study course.
Localized display only
Teaching staff can permit or prohibit AI tools in a course, depending on course goals and study results.
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
Artificial intelligence in UL
lu.lv
LU apstiprina mākslīgā intelekta rīku izmantošanas noteikumus – skaidras robežas digitālajā laikmetā
lu.lv
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.