Policy presence
Institut Teknologi Bandung (ITB) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Bandung, Indonesia
Institut Teknologi Bandung (ITB) is listed as QS 2026 rank 255. Institut Teknologi Bandung (ITB) has 6 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Institut Teknologi Bandung (ITB) is listed as QS 2026 rank 255. Institut Teknologi Bandung (ITB) has 6 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Institut Teknologi Bandung (ITB) 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 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/institut-teknologi-bandung.json. The entity-level confidence is 90%. 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.
Institut Teknologi Bandung (ITB) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Institut Teknologi Bandung (ITB) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Institut Teknologi Bandung (ITB) has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Institut Teknologi Bandung (ITB) has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Institut Teknologi Bandung (ITB) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Institut Teknologi Bandung (ITB) has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Institut Teknologi Bandung (ITB) has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Institut Teknologi Bandung (ITB) has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Institut Teknologi Bandung (ITB) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
6 reviewed evidence-backed public claim
Academic Integrity
Normalized value: fitb_ai_use_declaration_required
Original evidence
Evidence 1Deklarasi penggunaan AI adalah wajib, bukan opsional. Salah satu poin paling operasional dalam pedomen ITB adalah kewajiban deklarasi penggunaan AI untuk luaran perkuliahan ... Menggunakan AI tetapi tidak mendeklarasikan pemakaiannya, dapat dianggap pelanggaran serius, dengan konsekuensi akademik.
Localized display only
AI-use declaration is mandatory for coursework outputs; undeclared AI use may be considered a serious violation with academic consequences.
Academic Integrity
Normalized value: fitb_ai_assessment_default_cheating_unless_instructor_allows
Original evidence
Evidence 1AI digunakan saat ujian, kuis, ataupun bentuk evaluasi lainnya: Secara default, menggunakan AI saat evaluasi adalah kecurangan akademik dan dapat dikenai sanksi. Pengecualian: Jika dosen mengizinkan atau menyarankan.
Localized display only
By default, AI use during exams, quizzes, or other evaluations is academic cheating and may be sanctioned, with an exception where the instructor allows or recommends it.
Privacy
Normalized value: fitb_no_sensitive_data_into_genai_no_deepfake_disinformation
Original evidence
Evidence 1Data sensitif, privasi, dan deepfake: Mahasiswa dilarang memasukan data pribadi, sensitive, dan rahasia ke dalam GenAI. Mahasiswa juga dilarang menggunakan deepfake untuk disinformasi atau manipulasi.
Localized display only
Students are prohibited from entering personal, sensitive, and confidential data into GenAI and from using deepfakes for disinformation or manipulation.
Academic Integrity
Normalized value: fitb_no_full_ai_final_work_without_original_contribution
Original evidence
Evidence 1Menyerahkan hasil akhir full dari AI: Mahasiswa tidak boleh menyerahkan karya sepenuhnya dari hasil AI sebagai tugas akademik tanpa kontribusi original.
Localized display only
Students may not submit academic work entirely produced by AI without original contribution.
Ai Tool Treatment
Normalized value: fitb_ai_learning_aid_human_responsibility
Original evidence
Evidence 1AI boleh dipakai untuk proses belajar. Namun, pemahaman, argumentasi, analisa, dan keputusan-keputusan akademik tetap tanggung jawab manusia.
Localized display only
AI may be used for the learning process, but understanding, argumentation, analysis, and academic decisions remain human responsibility.
Teaching
Normalized value: fitb_instructors_set_course_ai_rules
Original evidence
Evidence 1Kebijakan ITB memberi ruang bahwa setiap mata kuliah dapat memiliki aturan yang berbeda, namun dosen perlu menetapkan kebijakan penggunaan AI untuk mata kuliahnya dan mengkomunikasikan sejak awal perkuliahan. Bila penggunaan AI diizinkan, maka perlu ditekankan bahwa izin harus jelas dan eksplisit dari dosen, disertai batasan dan transparansi.
Localized display only
Instructors need to set course AI-use policies and communicate them at the start; where AI is allowed, permission should be clear and explicit, with boundaries and transparency.
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.
1 source attribution
fitb.itb.ac.id
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 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.