Policy presence
Universitas Brawijaya has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Malang, Indonesia
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.
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.
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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Universitas Brawijaya has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Universitas Brawijaya has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
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.
Universitas Brawijaya has 1 source-backed public claim for exams; deterministic analysis status: recommended.
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.
Universitas Brawijaya has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Universitas Brawijaya has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
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.
Universitas Brawijaya has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Universitas Brawijaya has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
3 reviewed evidence-backed public claim
Research
Normalized value: jitecs_reviewers_must_not_use_genai_for_peer_review
Original evidence
Evidence 1Reviewers 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
Normalized value: jitecs_authors_may_use_genai_for_language_assistance_with_disclosure
Original evidence
Evidence 1Authors 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
Normalized value: library_article_recommends_clear_ai_use_policies
Original evidence
Evidence 1Setiap 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.
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.
2 source attribution
lib.ub.ac.id
jitecs.ub.ac.id
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