Lappeenranta, Finland

Lappeenranta-Lahti University of Technology LUT

Lappeenranta-Lahti University of Technology LUT is listed as QS 2026 rank =397. Lappeenranta-Lahti University of Technology LUT has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Lappeenranta-Lahti University of Technology LUT is listed as QS 2026 rank =397. Lappeenranta-Lahti University of Technology LUT has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Lappeenranta-Lahti University of Technology LUT as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/lappeenranta-lahti-university-of-technology-lut.json. The entity-level confidence is 95%. 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 Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Disclosure, acknowledgment, citation, or attribution language appears in the 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official 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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

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

Lappeenranta-Lahti University of Technology LUT has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1

Privacy and data entry

Lappeenranta-Lahti University of Technology LUT has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence79%Evidence1Sources1

Approved tools

Lappeenranta-Lahti University of Technology LUT has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1

Teaching guidance

Lappeenranta-Lahti University of Technology LUT has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

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.

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

6 reviewed evidence-backed public claim

Academic Integrity

The eLUT AI tools guideline says students must not submit AI-generated text, images, code, or other output as their own, and using AI against teacher instructions or concealing its use may be academic misconduct.

Review: Agent reviewedConfidence95%

Normalized value: ai_concealment_or_submission_as_own_may_be_misconduct

Original evidence

Evidence 1
The student must not present text, images, code or other output generated by AI tools as their own. ... Using AI against the teacher's instructions or concealing its use may be considered academic misconduct.

Localized display only

The guideline bars presenting AI output as one's own and treats concealed or prohibited use as possible misconduct.

Teaching

The eLUT AI tools guideline says teachers can require students to use Copilot in course assignments and can also prohibit AI use in course assignments.

Review: Agent reviewedConfidence94%

Normalized value: course_assignment_ai_use_teacher_determined

Original evidence

Evidence 1
Teachers can acquire the student to use Copilot in course assignments. Teachers can also prohibit the use of AI in course assignments.

Localized display only

Course-level AI use can be required or prohibited by teachers under the eLUT guidance.

Academic Integrity

LUT's thesis guidance says AI tools may only support the thesis process, the entire thesis or complete sections must not be done with AI, AI use in a maturity thesis is not allowed, and AI use during the thesis process must be indicated.

Review: Agent reviewedConfidence94%

Normalized value: thesis_ai_support_only_maturity_ai_not_allowed_report_use

Original evidence

Evidence 1
The entire thesis, or any complete sections of it, must not be done using an AI application. AI tools may only serve as support and assistance throughout the thesis process.

Localized display only

For theses, AI tools may support the process but may not produce the entire thesis or complete sections.

Privacy

The eLUT AI tools guideline says use of AI applications must not compromise data protection, information security, or privacy, and gives health, confidential, and sensitive personal information as examples of data not to enter into AI applications.

Review: Agent reviewedConfidence93%

Normalized value: no_confidential_sensitive_or_health_data_in_ai_apps

Original evidence

Evidence 1
The use of AI applications must not compromise data protection, information security, or privacy. For example, do not enter health data or confidential information into AI applications.

Localized display only

AI use must not compromise data protection, information security, or privacy.

Academic Integrity

The LUT citation guide gives citation formats for large language model outputs and AI-generated images, including AI developer, year, prompt or task, tool and version if known, citation date, and URL.

Review: Agent reviewedConfidence88%

Normalized value: citation_guidance_for_llm_outputs_and_ai_images

Original evidence

Evidence 1
AI developer. Year of publication. A question or task posed to AI. AI tool used and its version if known. Date of citation. Available at URL

Localized display only

The guide specifies citation elements for large language model outputs.

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 16, 2026Last changedMay 16, 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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