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.
Harbin, China (Mainland)
Harbin Institute of Technology
Harbin Institute of Technology is listed as QS 2026 rank 256. Harbin Institute of Technology 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
Harbin Institute of Technology is listed as QS 2026 rank 256. Harbin Institute of Technology 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 Harbin Institute of Technology 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/harbin-institute-of-technology.json. The entity-level confidence is 87%. 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 Teaching claims.
- No specific AI service name is highlighted by the current 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
Harbin Institute of Technology has 2 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
Harbin Institute of Technology has 2 source-backed public claims for exams; deterministic analysis status: recommended.
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
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
Harbin Institute of Technology has 2 source-backed public claims 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
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
Teaching
Harbin Institute of Technology's Graduate School continued an AI-enabled graduate education reform and course-construction initiative covering AI integration into graduate teaching models, systems, methods, approaches, evaluation, and student development.
Review: Agent reviewed
Normalized value: graduate_ai_enabled_teaching_reform_and_course_construction
Original evidence
Evidence 1选题主要包括：人工智能充分融入研究生教学情境和教育体系的途径和方法，研究围绕人工智能赋能研究生教学模式、教学体系、教学方法及方式、教学评价等方面。
Localized display only
Graduate project topics include ways and methods for fully integrating AI into graduate teaching settings and systems, including teaching models, systems, methods, approaches, and evaluation.
Teaching
Harbin Institute of Technology's Undergraduate School announced an AI-enabled teaching reform project that encourages AI-supported course scenarios, personalized student learning, and AI-enabled talent cultivation.
Review: Agent reviewed
Normalized value: undergraduate_ai_enabled_teaching_reform
Original evidence
Evidence 1AI赋能课程教学改革项目指聚焦人工智能赋能教学模式创新，从“师-生-机”深度交换的角度系统规划教学新形式的教学改革研究。改革方向、方法不限，需包含教学内容、教学资源、教学方法、教学评价、教学辅助等方面内容。
Localized display only
The AI-enabled course teaching reform project focuses on AI-enabled teaching model innovation and includes teaching content, resources, methods, evaluation, and support.
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
关于开展“人工智能赋能拔尖创新人才自主培养”教学改革及课程建设专项的通知
hitgs.hit.edu.cn
本科生院关于开展AI赋能教学改革专项立项申报工作的通知
hituc.hit.edu.cn
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.