Bangkok, Thailand

Chulalongkorn University

Chulalongkorn University is listed as QS 2026 rank 221. Chulalongkorn University has 4 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

Chulalongkorn University is listed as QS 2026 rank 221. Chulalongkorn University has 4 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 Chulalongkorn University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 4 source-backed claims, including 4 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/chulalongkorn-university.json. The entity-level confidence is 95%. 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 coverage4 reviewedSource languagethPublic JSON/api/public/v1/universities/chulalongkorn-university.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official 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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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

Chulalongkorn University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

Chulalongkorn University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence81%Evidence1Sources1

Academic integrity

Chulalongkorn University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Approved tools

Chulalongkorn University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence80%Evidence1Sources1

Teaching guidance

Chulalongkorn University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%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

4 reviewed evidence-backed public claim

Privacy

Chulalongkorn guidance prohibits uploading organizational confidential information or personal information into AI systems without consent from the concerned individuals.

Review: Agent reviewedConfidence95%

Normalized value: no_confidential_or_personal_data_upload_without_consent

Original evidence

Evidence 1
ห้ามนำข้อมูลใด ๆ ที่เป็นความลับของหน่วยงานหรือเป็นข้อมูลส่วนบุคคลโหลดเข้าไปในระบบงานปัญญาประดิษฐ์โดยไม่ได้รับความยินยอมจากผู้เกี่ยวข้อง

Localized display only

Confidential organizational information or personal information must not be uploaded into AI systems without consent from the concerned individuals.

Ai Tool Treatment

Chulalongkorn University supports students and staff developing understanding and appropriate use of AI tools.

Review: Agent reviewedConfidence94%

Normalized value: supports_understanding_and_appropriate_use

Original evidence

Evidence 1
จุฬาลงกรณ์มหาวิทยาลัยสนับสนุนให้นิสิตและบุคลากรมีความรู้ความเข้าใจและสามารถใช้เครื่องมือทางปัญญาประดิษฐ์ได้อย่างเหมาะสม

Localized display only

Chulalongkorn University supports students and staff having understanding and being able to use AI tools appropriately.

Academic Integrity

Chulalongkorn guidance says users who use AI tools in a task should cite and clearly state the scope of use; concealing AI-tool use is treated as an ethical violation that may be penalized under relevant rules.

Review: Agent reviewedConfidence94%

Normalized value: ai_use_disclosure_expected_concealment_ethical_violation

Original evidence

Evidence 1
หากมีการใช้เครื่องมือทางปัญญาประดิษฐ์ในงานใด ให้อ้างอิงและระบุให้ชัดเจนถึงขอบเขตการใช้ในงานนั้น

Localized display only

If AI tools are used in any task, cite and clearly state the scope of use in that task.

Teaching

For teaching and assessment, Chulalongkorn guidance says instructors should understand selected AI tools, define course-level scope and directions for use, and adjust evaluation when AI use is allowed.

Review: Agent reviewedConfidence93%

Normalized value: instructor_course_scope_and_assessment_adjustment

Original evidence

Evidence 1
ผู้สอนควรระบุในประมวลรายวิชาให้ชัดเจนถึงขอบเขตและแนวทางการใช้เครื่องมือทางปัญญาประดิษฐ์ เช่น ChatGPT, Google Bard ในรายวิชานั้น

Localized display only

Instructors should state clearly in the syllabus the scope and directions for AI-tool use, such as ChatGPT and Google Bard, in that course.

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

Chulalongkorn University Principles and Guidelines for using AI Tools

chula.ac.th

Snapshot hash
b49abe8bdced0db51b4e10ceb65fd151347833c78201666ad2cbde493f7d055a

หลักการและแนวปฏิบัติในการใช้เครื่องมือทางปัญญาประดิษฐ์ของจุฬาฯ

chula.ac.th

Snapshot hash
35275d228710bac287995a88e96fc6f5ac339031d73f8e5bc61cdc4c9cc98abe

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 15, 2026Last changedMay 15, 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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