University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Hunan University

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

Review: Agent reviewedLast checkedMay 17, 2026Last changedMay 17, 2026Claims2Sources2
University pagePublic JSON

Change summary

Current public record freshness and review state.

Hunan University currently has 2 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 17, 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.

Hunan University current policy evidence

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

+4-0
11 # Hunan University AI policy record
2+research: The Yue Lu Public Governance editorial office states that its journal does not accept manuscripts with generative AI tools as authors, limits generative AI use in submissions to auxiliary research tasks, rejects manuscripts with AI-generated core content or concealed tool use, and requires authors who used generative AI assistance to submit an AIGC tool-use disclosure statement.
3+Evidence (zh, 51e65f2d4d61): 本刊不接收任何生成式人工智能工具参与署名的稿件，稿件的原创思想、核心观点、研究设计及主体论证必须由研究者本人独立完成。生成式人工智能工具在投稿中的应用，仅限于语言润色、文献检索、数据整理与分析等辅助研究环节，不得涉及稿件核心内容的生成与创作。
4+research: For Hunan University's 2026 National Natural Science Foundation application notice, applicants who use generative AI to track research, collect literature, or organize references are instructed to verify AI-generated information and references, take responsibility for generated content, truthfully declare use, label relevant content under cited national rules, and not use directly AI-generated or unverified generated application content.
5+Evidence (zh, d17506306458): 申请人在撰写申请书时，如果借助生成式人工智能技术跟踪研究动态、收集整理参考文献，必须由人工核实生成式人工智能生成信息和参考文献的真实性和准确性。申请人应当对使用的生成内容负责，应当全面如实声明使用情况，按照《人工智能生成合成内容标识办法》《负责任研究行为规范指引（2023）》等国家有关规定对相关内容进行标识。

Claim changes

2 claim records

research

The Yue Lu Public Governance editorial office states that its journal does not accept manuscripts with generative AI tools as authors, limits generative AI use in submissions to auxiliary research tasks, rejects manuscripts with AI-generated core content or concealed tool use, and requires authors who used generative AI assistance to submit an AIGC tool-use disclosure statement.

Review: Agent reviewedConfidence86%Evidence1Languageszh

research

For Hunan University's 2026 National Natural Science Foundation application notice, applicants who use generative AI to track research, collect literature, or organize references are instructed to verify AI-generated information and references, take responsibility for generated content, truthfully declare use, label relevant content under cited national rules, and not use directly AI-generated or unverified generated application content.

Review: Agent reviewedConfidence84%Evidence1Languageszh

Source snapshots

2 source attributions

《岳麓公共治理》编辑部关于规范生成式人工智能工具使用的声明

official_guidance checked May 17, 2026

Snapshot hash
51e65f2d4d61f95af58ec510f179e10e20d4412a990bd48177fc5dbb44e84439

国自科——关于做好2026年度国家自然科学基金申请有关工作的通知

official_guidance checked May 17, 2026

Snapshot hash
d17506306458ba7d1024e94de269353e85a58e79fec0e3bb16af21d430d9b651