[Library Tips] Can AI Cause Academic Misconduct? — A Must Read AI Literacy Guide for Students

[圖書館小貼士] AI 會造成學術不端嗎?--大學生必看的 AI 素養指南

 

近期,《自然》(Nature)刊載了一項備受關注的研究:13 款主流大型語言模型(LLMs)在特定情境下可能生成偽造的學術內容,包括虛構研究、捏造數據與協助偽科學敘事。

Source: Gibney, E. (2026). Hey ChatGPT, write me a fictional paper: these LLMs are willing to commit academic fraud. Nature, 03 March. https://doi-org.libezproxy.um.edu.mo/10.1038/d41586-026-00595-9

生成式 AI 已成為大學生常用的學習輔助工具,但這項研究提醒我們:AI 的「聽話」並不等於可靠,甚至可能造成學術風險。為協助同學提升 AI 素養,澳門大學圖書館整理了重點與建議,協助你安全且負責任地使用 AI 工具。

 


一、AI 在研究中可能帶來哪些風險?

研究者向 13 種 AI 工具提出五類問題,從一般詢問到明顯要求偽造學術內容,結果顯示:

  • 部分 AI 會直接生成偽造論文與虛構數據
    例如某些版本的 GPT、Grok,提供完整的「看似合理」論文草稿,並自行編製虛構的數據、圖表與結果。
  • 僅極少數 AI 會拒絕不當要求
    只有極少數模型(如部分 Claude 版本)較能堅守原則,但並非百分百安全。

更值得注意的是,即便 AI 拒絕直接造假,也可能提供如何實施造假的「方法建議」,讓使用者自行進行不當操作。

 


二、為何這些問題值得關注?

AI 的不當輸出可能對學術生態造成:

  1. 低品質與偽造論文大量增加,壓縮真正有價值的科研成果。
  2. 虛假數據污染研究領域,影響後續研究與整合分析(meta-analysis)。
  3. 破壞學術信任機制,加劇「Publish or perish」壓力下的學術道德風險。
  4. 增加教師、研究者與審稿人的工作量,需投入更多時間查核真偽。

AI 並非有意欺騙,而是基於生成式模型的特性:它的任務是「產生看似合理的內容」,而不是「驗證真偽」

 


三、如何避免 AI 帶來的學術陷阱?圖書館建議三招

  1. AI 保持質疑態度:把它視為「健談但不一定可靠的學習夥伴」

AI 可能用非常流暢的語言陳述錯誤資訊,因此請務必問自己:
AI 的說法,我能在哪裡查證?」

而不僅僅是:
AI 說的對嗎?」

           ———————

  1. 用圖書館資料庫核對資訊(非常重要)

圖書館資料庫與學術資源提供經專業審查的可靠資訊,可協助你:

    • 查核 AI 提供的文獻是否真實存在
    • 尋找可信賴的一手資料與更權威的來源
    • 驗證理論、模型與研究方法

澳大圖書館提供超過 260 種資料庫
可由圖書館主頁 → 博尋(BoQuest→ Databases查詢 或瀏覽完整列表
使用 UM Pass 校內外均可訪問(請注意:不可使用 VPN)。

圖書館提供的常用資料庫包括:

    • ScienceDirect AI / Leap Space
    • Web of Science
    • Scopus
    • IEEE Xplore
    • Springer Nature Link
    • Wiley
    • Taylor & Francis
    • PubMed
    • JSTOR
    • SAGE
    • ProQuest
    • EBSCO
    • CNKI
    • ……

圖書館網址
https://library.um.edu.mo/

           ———————

  1. 以你自己的研究行動補強內容

真正的學術研究離不開你自己的真實材料,包括:

    • 實驗結果
    • 問卷與訪談
    • 田野觀察
    • 其他第一手資料
    • 批判性閱讀與分析

AI 可協助語句表達,但無法替代你的求證、觀察與推理。

 


四、結語:AI 是工具,但圖書館是你的學術後盾

使用 AI 時,請牢記三步驟:
① AI 協助 → ② 圖書館查證 →  ③ 自己提供事實與數據。

若你希望:

  • 提升 AI 素養,避免不自覺的 AI 學術風險
  • 掌握有效的資料查尋策略和技巧
  • 學習引文管理與如何避免抄襲

歡迎參加圖書館工作坊,或諮詢圖書館的參考館員:
電話:(853) 8822 8170
電郵:lib_ref@um.edu.mo

圖書館將是你在 AI 時代最堅實、最可信賴的學術支持。

 


【寫在最後】

AI 能幫你寫,但不能幫你「變聰明」。

圖書館能幫你查,但不能幫你「偷懶」。

真正能讓你在大學生涯、乃至職業生涯走得更遠、飛得更高的,

你的好奇心、批判力與求知欲。

 

別讓 AI 帶偏你。

讓圖書館,帶你走回真正的知識世界。

 

圖書館網址
https://library.um.edu.mo/

圖書館微信服務號

 

 

A recent study published in Nature has drawn significant attention: 13 major large language models (LLMs) were shown to produce fabricated academic content under certain prompts—including fictional studies, invented datasets, and narratives that support pseudoscience.

Source: Gibney, E. (2026). Hey ChatGPT, write me a fictional paper: these LLMs are willing to commit academic fraud. Nature, 03 March. https://doi-org.libezproxy.um.edu.mo/10.1038/d41586-026-00595-9

Generative AI has become a common learning aid for university students, but this study reminds us that an AI system being “helpful” does not mean it is accurate and may even introduce academic risks. To help students enhance their AI literacy, the University of Macau Library has compiled key insights and practical recommendations to support your safe and responsible use of AI tools.

 


I. What Risks Can AI Introduce in Academic Research?

Researchers prompted 13 AI tools with five categories of questions, ranging from general queries to explicit requests to fabricate academic content. Their findings include:

  • Most AI tools generate fake paper and fabricated data

Some versions of GPT, Grok, and other models produced seemingly plausible research drafts—complete with made‑up datasets, charts, and results.

  • Only a few AI tools refused inappropriate requests

A small number of models (e.g., some versions of Claude) adhered to ethical principles more consistently, but none were perfectly safe.

Worryingly, even when an AI refused to fabricate data, it sometimes offered instructions on how to commit academic fraud, enabling users to perform the misconduct themselves.

 


II. Why Should These Findings Concern Us?

Irresponsible AI usage may harm the academic community in several ways:

  1. A surge of low‑quality or fabricated papers could overshadow meaningful scientific work.
  2. False data may contaminate entire research fields, affecting future studies and meta‑analyses.
  3. Academic trust systems may be undermined, worsening ethical risks under the “publish or perish” pressure.
  4. Faculty, researchers, and reviewers may face heavier workloads verifying authenticity.

AI is not intentionally deceptive—its primary function is to generate seemly plausible content, not to verify truth.

 


III. How Can You Avoid AI‑Related Academic Pitfalls?

The Library Recommends Three Key Practices

  1. Treat AI with Healthy Skepticism:

Think of it as a “talkative but not fully reliable study partner.”

AI may express incorrect information in fluent, confident language. Always ask:
“Where can I verify what the AI just told me?”

Not merely:
“Is the AI correct?”

           ———————

2.Verify Information Using Library Databases (Highly Recommended)

  1. Library databases and academic resources provide peer‑reviewed, authoritative information. They will help you:

    • Check whether AI‑generated references or studies actually exist
    • Locate credible primary sources and authoritative research
    • Validate theories, models, and research methodologies

    UM Library offers access to more than 260 databases.
    You can explore them via:
    Library Homepage → BoQuest → Databases
    UM Pass allows access from both on- and off‑campus (Note: VPN is not permitted).

    Commonly used databases @UM include:

    • ScienceDirect AI / Leap Space
    • Web of Science
    • Scopus
    • IEEE Xplore
    • Springer Nature Link
    • Wiley
    • Taylor & Francis
    • PubMed
    • JSTOR
    • SAGE
    • ProQuest
    • EBSCO
    • and so on.

    Library Website
    https://library.um.edu.mo/

           ———————

  1. Strengthen Your Work with Your Own Research Efforts

Authentic academic research relies on genuine materials, such as:

    • Experimental results
    • Surveys and interviews
    • Field observations
    • Other primary data
    • Critical reading and analysis

AI can help with phrasing and summarization, but it cannot replace your inquiry, validation, or reasoning.

 


IV. Conclusion: AI Is a Tool—The Library Is Your Academic Support

When using AI, remember this three‑step workflow:

AI Assistance → Library Verification → Your Own Evidence & Data

If you would like to:

  • Improve your AI literacy and avoid unintentional academic risks
  • Strengthen your research and information‑seeking skills
  • Learn citation management and plagiarism avoidance

You are welcome to join our Library workshops or consult our Reference Librarians:

Tel: (853) 8822 8170
Email: lib_ref@um.edu.mo

The library will remain your most reliable academic partner in the age of AI.

 


Final Thoughts

AI can help you write, but it cannot help you think.
The Library can help you search, but it cannot help you skip the hard work.

What truly carries you further in your university journey, and beyond,
is your curiosity, critical thinking, and desire to learn.

Don’t let AI lead you astray.
Let the Library bring you back to the world of genuine knowledge.

Library Website
https://library.um.edu.mo/

UM Library WeChat Service Account