Policy presence
Universitas Airlangga has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Surabaya, Indonesia
Universitas Airlangga
Universitas Airlangga is listed as QS 2026 rank =287. Universitas Airlangga has 2 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universitas Airlangga is listed as QS 2026 rank =287. Universitas Airlangga has 2 source-backed AI policy claim records from 2 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 Universitas Airlangga as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 2 source-backed claims, including 2 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-airlangga.json. The entity-level confidence is 88%. 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 AI tool treatment 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.
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
Universitas Airlangga has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universitas Airlangga has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universitas Airlangga has 2 source-backed public claims for exams; deterministic analysis status: required.
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.
Academic integrity
Universitas Airlangga has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Universitas Airlangga has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universitas Airlangga has 2 source-backed public claims for named ai services; deterministic analysis status: required.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
Universitas Airlangga has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
2 reviewed evidence-backed public claim
Ai Tool Treatment
UNAIR's Jurnal Hubungan Internasional author guidance requires manuscripts to include an artificial-intelligence tool usage declaration in the acknowledgments section and says authors must identify either use or non-use of AI tools.
Review: Agent reviewed
Normalized value: journal_author_ai_declaration_required
Original evidence
Evidence 1As part of our policy, all authors are required to include a declaration regarding artificial intelligence tool usage in their manuscripts. This declaration should be placed in the acknowledgments section.
Localized display only
JHI requires authors to include an AI tool usage declaration in manuscript acknowledgments.
Ai Tool Treatment
UNAIR's JPUA editorial policy allows responsible generative-AI use to improve language quality and readability with mandatory human supervision, but it does not recognize LLMs or other AI tools as authors or co-authors and requires disclosure when AI tools are used in manuscript preparation.
Review: Agent reviewed
Normalized value: journal_ai_use_allowed_with_supervision_disclosure_no_ai_authorship
Original evidence
Evidence 1JPUA supports responsible use of artificial intelligence (AI) tools, particularly generative AI, to enhance language quality and readability, provided that human supervision remains mandatory. JPUA does not recognize Large Language Models (LLMs)—such as ChatGPT—or any AI tool as authors or co-authors. If an LLM or other AI tool is used at any stage of manuscript preparation, the authors are required to clearly and transparently disclose the extent and purpose of AI use.
Localized display only
JPUA supports responsible AI use for language quality and readability when human supervision remains mandatory; it does not recognize AI tools as authors or co-authors and requires transparent disclosure when AI tools are used in manuscript preparation.
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
AI Tool Guidelines and Declaration
e-journal.unair.ac.id
Editorial Policies
e-journal.unair.ac.id
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.