Moscow, Russia

Plekhanov Russian University of Economics

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage1 reviewedEvidence-backed claims1Reviewed1Candidate0Official sources1Source languageruPublic JSON/api/public/v1/universities/plekhanov-russian-university-of-economics.json

Policy profile

Coverage score30/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence63%

Policy presence

No source-backed public AI policy or guidance record is present in this profile.

The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coursework

Plekhanov Russian University of Economics has 1 source-backed public claim for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence63%Evidence1Sources1

Exams

Plekhanov Russian University of Economics has 1 source-backed public claim for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence63%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

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

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

Plekhanov Russian University of Economics has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence63%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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

1 reviewed evidence-backed public claim

Teaching

Plekhanov Russian University of Economics reports an educational approach in which students may use an already trained model in transfer-learning courses or assignments, with creation of a specialized dataset described as a required condition for that model use.

Review: Agent reviewedConfidence74%

Normalized value: ai_use_in_transfer_learning_assignments_with_specialized_dataset_condition

Original evidence

Evidence 1
В Плехановском университете видят способ решения этой задачи во включении в образовательный процесс курсов и заданий, связанных с трансферным обучением, когда студент получает право использовать уже обученную модель, однако обязательным требованием применения становится создание для модели узкоспециализированного датасета.

Localized display only

The university describes including transfer-learning courses and assignments in the educational process, where a student may use an already trained model and must create a specialized dataset for that model.

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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