Bandung, Indonesia

Institut Teknologi Bandung (ITB)

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage6 reviewedSource languageidPublic JSON/api/public/v1/universities/institut-teknologi-bandung.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources1

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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

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

Institut Teknologi Bandung (ITB) has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

Institut Teknologi Bandung (ITB) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence76%Evidence1Sources1

Approved tools

Institut Teknologi Bandung (ITB) has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence74%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

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

6 reviewed evidence-backed public claim

Academic Integrity

FITB guidance says declaration of AI use for coursework outputs is mandatory rather than optional, and undeclared AI use may be considered a serious violation with academic consequences.

Review: Agent reviewedConfidence90%

Normalized value: fitb_ai_use_declaration_required

Original evidence

Evidence 1
Deklarasi 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

FITB guidance states that, by default, using AI during exams, quizzes, or other evaluations is academic cheating and can be sanctioned unless the instructor allows or recommends AI use for a particular part of a course.

Review: Agent reviewedConfidence89%

Normalized value: fitb_ai_assessment_default_cheating_unless_instructor_allows

Original evidence

Evidence 1
AI 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

FITB guidance says students are prohibited from entering personal, sensitive, and confidential data into GenAI and are prohibited from using deepfakes for disinformation or manipulation.

Review: Agent reviewedConfidence89%

Normalized value: fitb_no_sensitive_data_into_genai_no_deepfake_disinformation

Original evidence

Evidence 1
Data 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

FITB guidance says students may not submit final academic work entirely generated by AI without original contribution.

Review: Agent reviewedConfidence88%

Normalized value: fitb_no_full_ai_final_work_without_original_contribution

Original evidence

Evidence 1
Menyerahkan 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

FITB guidance says AI may be used as an aid in the learning process, while understanding, argumentation, analysis, and academic decisions remain human responsibilities.

Review: Agent reviewedConfidence87%

Normalized value: fitb_ai_learning_aid_human_responsibility

Original evidence

Evidence 1
AI 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

FITB guidance says instructors need to set AI-use policies for their courses and communicate them at the start of the course; when AI use is allowed, permission should be clear and explicit, with boundaries and transparency.

Review: Agent reviewedConfidence87%

Normalized value: fitb_instructors_set_course_ai_rules

Original evidence

Evidence 1
Kebijakan 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.

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

1 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 16, 2026Last changedMay 16, 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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