Malang, Indonesia

Universitas Brawijaya

Universitas Brawijaya has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 18, 2026.

Universitas Brawijaya AI policy short answer

v1 public contract

Universitas Brawijaya has 3 source-backed AI policy claims from 2 official source attributions, including 3 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 18, 2026. Discovery context: Universitas Brawijaya is listed as QS 2026 rank =680.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Universitas Brawijaya as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 3 source-backed claims, including 3 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/universitas-brawijaya.json. The entity-level confidence is 92%. 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 coverage3 reviewedSource languageen, idPublic JSON/api/public/v1/universities/universitas-brawijaya.json

Policy signals in this record

  • Evidence includes Research claims.
  • Evidence includes Teaching 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.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources2

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 score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence73%

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.

Coursework

No source-backed public claim about coursework AI use is present in this profile.

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

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

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

3 reviewed evidence-backed public claim

Research

The UB-hosted JITeCS GenAI policy says reviewers must not use generative AI tools for any part of the peer-review process and must not share manuscripts with AI systems.

Review: Agent reviewedConfidence92%

Normalized value: jitecs_reviewers_must_not_use_genai_for_peer_review

Original evidence

Evidence 1
Reviewers must not use Generative AI tools for any part of the peer-review process ... Reviewers may not upload, quote, or share manuscripts with any AI system or external entity.

Research

The UB-hosted JITeCS GenAI policy permits authors to use generative AI for language and writing assistance with author oversight, while requiring disclosure of GenAI use in the manuscript.

Review: Agent reviewedConfidence90%

Normalized value: jitecs_authors_may_use_genai_for_language_assistance_with_disclosure

Original evidence

Evidence 1
Authors are allowed to use GenAI for the following purposes: Language and Writing Assistance ... Drafting or refining sections of text with author oversight. All GenAI usage must be disclosed in the manuscript.

Teaching

A UB Library article recommends clear institutional AI-use policies, including limits for AI tools in assignments and exams, guidance for assessing originality, and sanctions for academic-ethics violations involving AI.

Review: Agent reviewedConfidence82%

Normalized value: library_article_recommends_clear_ai_use_policies

Original evidence

Evidence 1
Setiap institusi pendidikan perlu mengembangkan kebijakan eksplisit mengenai penggunaan AI. Ini mencakup: Batas penggunaan alat AI dalam tugas dan ujian; Panduan untuk dosen dalam menilai keaslian karya; Sanksi terhadap pelanggaran etika akademik yang melibatkan AI.

Localized display only

Each educational institution needs explicit AI-use policies, including limits for AI tools in assignments and exams, guidance for assessing originality, and sanctions for academic-ethics violations involving AI.

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

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 18, 2026Last changedMay 18, 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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