Policy record and evidence correction

Correct citation dates, completed deployment/coordinator status labels, and Monash source indexing. Policy claims, evidence bytes, held decisions and independent audit gaps remain unchanged.

Historical correction: counts and claims reflect this version, not the latest selected record.

2026-10-22T15:59:18.511995Z · qs35-40-v6-r4-meta-20261022

• Fudan University · 11 reviewed records in this revision · View policy page
  • Added records: 0; Corrected records: 0; Held / excluded from current conclusions: 0

Previous V6 release history

Record revision, scope and original evidence

Original evidence and audience, course and unit scopes are preserved. Tracker correction time is not a policy effective date.

The records below reflect this historical version, not the current policy record or current review conclusions.

4060156ba19f9fc27c68644bc1e2fd1d0e26619dfbc41a36de323244c755a968

{
  "addedClaimIds": [],
  "updatedClaimIds": [],
  "heldClaimIds": []
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• fudan-claim-001 — Fudan's formal rule on AI tools in undergraduate theses (adopted by the Academic Affairs Office on 24 September 2024, trial) allows AI use only with the supervisor's consent and only where AI output does not affect assessment of the student's own innovative ability, in four areas: literature search and management (verifying references), suggesting chart types and auxiliary charting (not generating or altering original data or key research figures), coding and method screening where the method is not the thesis's innovation (all code and methods must be reviewed and tested by the author), and reference formatting (with checking). This rule is specific to undergraduate theses; it is not a rule for all courses or for graduate theses.
• draft-claim-fudan-thesis-ai-prohibitions — The same Fudan undergraduate-thesis rule (Article 4) prohibits AI in six areas: research design and data analysis; generating or altering original data (unless AI itself is the research topic); generating or altering original result images and key illustrations (unless a reproducible AI method is part of the design and explained in the methods); directly generating thesis text or acknowledgements, including AI language polishing and translation; use of AI by defence committee members or reviewers to evaluate the thesis; and any AI use or upload for theses involving confidential content.
• draft-claim-fudan-thesis-ai-disclosure — When AI tools are used in a Fudan undergraduate thesis, the thesis commitment form must disclose the tool name and version, time and specific purpose of use, the content or suggestions the AI produced, and the parts of the thesis where it was used; students must keep the relevant pre-AI materials for inspection by the supervisor or reviewers. The author bears final responsibility and AI cannot be listed as an author.
• draft-claim-fudan-thesis-ai-consequences-scope — Under the Fudan undergraduate-thesis AI rule, breaches are handled according to their seriousness: they may be reflected in the thesis assessment grade, lead to refusal of the defence or cancellation of a passing grade, and only where they constitute academic misconduct lead to disciplinary sanctions, loss of degree eligibility or degree revocation. Course papers, term papers and exam papers may refer to this rule where no specific rule exists, while published academic papers and research activities are governed by other rules and are outside its scope. Supervisors and reviewers may add supplementary assessment to check the student's mastery.
• draft-claim-fudan-2026-teaching-guide — On 12 January 2026 Fudan launched the AI3A education co-creation platform and published the Generative AI Education and Teaching Application Guide 1.0, with 11 annexes such as an AI use declaration template and reference syllabus clauses. According to Fudan's official announcement, the guide allows AI for supporting steps such as language polishing and structural suggestions but not to replace core academic work such as research conception, theory building and data analysis, and judges integrity mainly on honest disclosure and process records. The guide's full text sits on the AI3A platform and was not independently reviewed; it is teaching guidance and does not by itself override the stricter undergraduate-thesis rule.
• draft-claim-fudan-discipline-appeal — Under Fudan's Student Disciplinary Regulations (2017, amended 2019), students must be informed of their right to state their case and defend themselves before a sanction. A student who disagrees with a disciplinary decision may appeal to the University Student Appeals Committee within ten days (not working days) of service of the decision; the committee normally concludes within fifteen days (extendable by fifteen), and a student who disagrees with the review decision may appeal to the Shanghai Municipal Education Commission within fifteen days of its service (Student Appeals Regulations, effective 1 September 2017). A teacher's request to redo or supplement an assessment is not automatically a disciplinary decision.
• cl-fudan-university-institutional-ai-service-194 — Fudan's Information Office announcement (April 2025) records that the intelligent Q&A assistant 复小信 (Fu Xiaoxin) went live in 2021, before the AI Service Hall. Its current (2026) access conditions were not independently verified.
• cl-fudan-university-institutional-ai-service-195 — 复小填 (intelligent form filling) is a module of Fudan's AI Service Hall (eHall); at launch in March 2025 its 'one-sentence service' covered three initial administrative service items. The 2025 initial scope is not evidence of its 2026 scope. It is an administrative service tool, not a coursework permission.
• cl-fudan-university-institutional-ai-service-196 — 复小搜 (intelligent search) is a module of Fudan's AI Service Hall launched in March 2025; current login access and features were not independently tested.
• cl-fudan-university-self-deploy-197 — Fudan's Information Office states that its AI Service Hall uses a locally deployed Tongyi Qianwen (Qwen) model to protect staff and student data. This is the University's own statement; the back-end architecture and data security were not independently verified.
• draft-claim-fudan-ai3a-platform-tools — Fudan's AI3A platform (launched January 2026) gathers teaching cases, a training section with an AI literacy self-test system, global AI cases and a staff-student co-creation area, and its tool square recommends tools by teaching scenario. Course-level AI teaching assistants exist in specific courses. Listing on the platform is not evidence of university-wide procurement, data approval or assessment permission.