University AI Policy Tracker

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Southern University of Science and Technology (SUSTech)

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims5Sources3
University pagePublic JSON

Change summary

Current public record freshness and review state.

Southern University of Science and Technology (SUSTech) currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 16, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Southern University of Science and Technology (SUSTech) current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+10-0
11 # Southern University of Science and Technology (SUSTech) AI policy record
2+academic_integrity: SUSTech's Control Science and Engineering doctoral degree standard says that if AI tools such as language models or text-generation tools are used during thesis writing, their role must be auxiliary and they may not replace the degree applicant's core research work or independent thinking.
3+Evidence (zh-CN, 5587dd1e4673): 若在论文写作过程中使用人工智能工具（如语言模型、文本生成工具等），需明确人工智能工具的辅助性作用，不得替代学位申请人的核心研究工作和独立思考。
4+academic_integrity: SUSTech's Control Science and Engineering doctoral degree standard says supervisors should oversee AI-tool use throughout the thesis process, ensure it conforms to academic norms, and confirm it in the thesis originality statement.
5+Evidence (zh-CN, 5587dd1e4673): 导师应全程监督人工智能工具的使用，确保其符合学术规范，并在学位论文原创性声明中予以确认。
6+source_status: SUSTech's CS114 Introduction to Generative Artificial Intelligence course specification is course-level curriculum material that says the course covers generative AI history, principles, deployment, interdisciplinary applications, and ethical, security, and privacy discussions; it is not an institutional AI-use policy.
7+Evidence (zh-CN, 5d59d15cba7f): 本课程旨在介绍生成式人工智能的发展历史、基本原理、部署应用、跨学科实践、伦理安全等内容。通过本课程，学生可以（以 DeepSeek 为例）理解生成式人工智能的基本原理与能力边界，掌握部署实用方式。
8+source_status: SUSTech's CS114 course calendar includes lessons on GAI privacy and security, GAI ethics, AI hallucination in large models, GAI-assisted programming, and AI agent engineering; this is course-level curriculum evidence rather than an institutional AI-use policy.
9+Evidence (zh-CN, 5d59d15cba7f): 第十一课：大模型幻觉... 第十二课：GAI 与智能体搭建... 第十四课：GAI 隐私保护与安全 GAI 数据隐私保护机制 GAI 安全实现技术介绍 第十五课：GAI 伦理 生成内容可信度评估 伦理问题讨论
10+source_status: A 2026 SUSTech Library embedded AI-literacy teaching page reports that a library session for the Intelligent Ocean Exploration course introduced AI hallucination, algorithmic bias, AI academic writing norms, citation-labeling guidance, and AI academic application boundaries; this is course-session evidence rather than institutional policy.
11+Evidence (zh-CN, d86ff06b199e): 4月3日，在嵌入式教学第二讲“AI在学术研究中的边界与伦理”中，学科馆员张依兮介绍了AI幻觉和算法偏见、AI目前在学术研究场景下的利用，以及图书馆订购的学术AI工具。课程结合大量案例带同学们了解AI学术不端与伦理问题，并详细介绍了AI学术写作规范与引用标注指南，明确AI学术应用的“红线”与“绿道”，筑牢科研诚信的底线。

Claim changes

5 claim records

academic_integrity

SUSTech's Control Science and Engineering doctoral degree standard says that if AI tools such as language models or text-generation tools are used during thesis writing, their role must be auxiliary and they may not replace the degree applicant's core research work or independent thinking.

Review: Agent reviewedConfidence96%Evidence1Languageszh-CN

academic_integrity

SUSTech's Control Science and Engineering doctoral degree standard says supervisors should oversee AI-tool use throughout the thesis process, ensure it conforms to academic norms, and confirm it in the thesis originality statement.

Review: Agent reviewedConfidence95%Evidence1Languageszh-CN

source_status

SUSTech's CS114 Introduction to Generative Artificial Intelligence course specification is course-level curriculum material that says the course covers generative AI history, principles, deployment, interdisciplinary applications, and ethical, security, and privacy discussions; it is not an institutional AI-use policy.

Review: Agent reviewedConfidence94%Evidence1Languageszh-CN

source_status

SUSTech's CS114 course calendar includes lessons on GAI privacy and security, GAI ethics, AI hallucination in large models, GAI-assisted programming, and AI agent engineering; this is course-level curriculum evidence rather than an institutional AI-use policy.

Review: Agent reviewedConfidence93%Evidence1Languageszh-CN

source_status

A 2026 SUSTech Library embedded AI-literacy teaching page reports that a library session for the Intelligent Ocean Exploration course introduced AI hallucination, algorithmic bias, AI academic writing norms, citation-labeling guidance, and AI academic application boundaries; this is course-session evidence rather than institutional policy.

Review: Agent reviewedConfidence90%Evidence1Languageszh-CN

Source snapshots

3 source attributions