Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Hong Kong, Hong Kong SAR
The Hong Kong University of Science and Technology
The Hong Kong University of Science and Technology has 5 source-backed AI policy claims from 7 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 10, 2026.
The Hong Kong University of Science and Technology AI policy short answer
v1 public contract
The Hong Kong University of Science and Technology has 5 source-backed AI policy claims from 7 official source attributions, including 5 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 10, 2026. Discovery context: The Hong Kong University of Science and Technology is listed as QS 2026 rank 44.
Citation-ready summary
As of this public record, University AI Policy Tracker lists The Hong Kong University of Science and Technology as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 10, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/hkust.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.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Named AI services detected in public claims: Microsoft Copilot, Gemini.
- 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.
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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
The Hong Kong University of Science and Technology has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
The Hong Kong University of Science and Technology has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
The Hong Kong University of Science and Technology has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
The Hong Kong University of Science and Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
The Hong Kong University of Science and Technology has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
The Hong Kong University of Science and Technology has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
The Hong Kong University of Science and Technology has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
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.
Security and procurement
The Hong Kong University of Science and Technology has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
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
5 reviewed evidence-backed public claim
Ai Tool Treatment
HKUST guidelines state that users shall not use generative AI tools for unlawful, harmful, or malicious activities, including fraud, harassment, defamation, or infringement of rights.
Review: Agent reviewed
原始证据
Evidence 1Users shall not use generative AI tools for any unlawful, harmful, or malicious activities, including but not limited to fraud, harassment, defamation, or infringement of rights.
Teaching
HKUST allows faculty members the flexibility to set their own course-level policies for GenAI integration in teaching and learning.
Review: Agent reviewed
原始证据
Evidence 1HKUST allows faculty members the flexibility to set their own course-level policies. Faculty members are required to communicate the chosen policy option to students in writing for courses offered starting Fall 2023-24.
Ai Tool Treatment
HKUST provides approved generative AI tools including OpenWebUI, HKUST GenAI Platform, Google Gemini Enterprise, Microsoft Copilot Chat, and Microsoft 365 Copilot.
Review: Agent reviewed
原始证据
Evidence 1Generative AI Tools Available to HKUST Members: HKUST GenAI Platform, OpenWebUI, Google Gemini Enterprise, Microsoft Copilot Chat, Microsoft 365 Copilot, AI Chatbot for HKUST Drupal Platform, Azure OpenAI API Access.
Privacy
HKUST advises users not to input confidential, sensitive, or personal data into generative AI tools unless data is desensitized.
Review: Agent reviewed
原始证据
Evidence 1Users are advised not to use confidential HKUST documents in those tools unless they are desensitized. Avoid inputting confidential, sensitive, or personal data into generative AI tools.
Academic Integrity
HKUST assessment policies require course syllabi to clearly present policies on the use of Generative AI tools and academic integrity.
Review: Agent reviewed
原始证据
Evidence 1the course syllabus should be devised to present course ILOs, assessment components, grading rubrics, and relevant policies like the use of Generative AI tools and the rules of academic integrity clearly and make it accessible to students at the start of the course via Canvas or other appropriate platform.
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
7 source attribution
Assessment Design | HKUST CEI | Center for Education Innovation
cei.hkust.edu.hk
Assessment Policies and Procedures | HKUST - Academic Registry
registry.hkust.edu.hk
Generative AI Tools | Information Technology Services Office
itso.hkust.edu.hk
Generative AI Usage Guidelines | Information Technology Services Office
itso.hkust.edu.hk
Guidelines and Policies | HKUST CEI | Center for Education Innovation
cei.hkust.edu.hk
Usage Tips on Microsoft Copilot | Information Technology Services Office
itso.hkust.edu.hk
What is data desensitization? | Information Technology Services Office
itso.hkust.edu.hk
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.