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研究生: 紀元君
Ki Yue Kwan Cinda
論文名稱: 自然語言處理對性別偏見影響之推測設計及策展創作
Speculative Design and Curatorial Creation of the Impact of Natural Language Processing on Gender Bias
指導教授: 李根在
Ken-Tsai Lee
口試委員: 柯志祥
Chih-hsiang Ko
宮保睿
Pao-Jui Gong
學位類別: 碩士
Master
系所名稱: 設計學院 - 設計系
Department of Design
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 101
中文關鍵詞: 自然語言處理技術性別偏見推測設計策展設計
外文關鍵詞: Natural Language Processing, Gender Bias, Speculative Design, Curatorial Design
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人工智慧中的其中一個重要技術—自然語言處理,透過理解及生成人類自 然語言,如ChatGPT的聊天機器人程式等更是逐漸滲透我們的工作和生活。但 不同研究指出自然語言處理裡隱含了性別偏見,揭示了因人工智慧複製了人類 社會的性別偏見而將偏見重演在其生成文字上。文字對人類文明文化有著舉足 輕重的影響,若這種帶有偏見的生成文字毫無覺察地出現在我們日常中,又將 會產生甚麼問題呢?本研究欲探討自然語言處理的不同面向,以及它如何改變 性別平等的現狀,並以推測設計的思維去推測—若我們放任這問題,當二十年 後人工智慧更成熟及全面地發展後,將如何影響我們的性別觀念,最後以策展 設計呈現自然語言處理對性別偏見的影響,將資料及概念傳遞給公眾,以喚起 公眾關注。
從文獻探討中,本研究首先探討了自然語言處理的基本釋義及其不同應用 範圍。之後,則是研究自然語言處理技術帶來的性別偏見問題。性別偏見包括 誹謗、刻板印象、識別偏差和代表性不足。這些偏見在人工智慧系統中被放 大,可能導致性別不平等的惡性循環。故此,再在文獻探討中探討推測設計的 設計思維及設計方法,從界定「假如...」問題、情境設定等方法去為後續的研 究創作奠定基石。最後,透過研究策展設計的定義及策展界入社會議題的相關 論述,希望透過展覽激發公眾更多的討論和關注。
在創作過程中,透過推測設計的思維及設計方法,與及現今正愈趨頻繁使 用自然語言處理技術的範疇,最後聚焦在人類使用文字的三大重要領域:歷 史、新聞及法律。本研究創作了一個名為《未來性別:對話》的展覽,分為兩 大區,「現在區」以三個展品描述自然語言處理的資訊,及其產生性別偏見的 例子、原因及面貌。而「未來區」則以三個展品:「未來編年史」、「未來新 聞生成器」及「未來法庭」引發觀者對未來的想像及激發關注討論。
本研究於 2024 年 7 月 4 日至 7 月 8 日在國立台灣科技大學·大用工坊舉 辦《未來性別:對話》的展覽,共展出 7 個設計作品。
關鍵字:自然語言處理技術、性別偏見、推測設計、策展設計


One of the key technologies in AI is natural language processing (NLP), which enables understanding and generating human natural language, as exemplified by chatbot programs like ChatGPT, which are increasingly integrated into our work and life. However, research has shown that NLP inherently contains gender biases, revealing that AI systems reproduce the gender biases present in human society through the text they generate. Language has a profound influence on human civilization and culture. If biased text generation goes unnoticed daily, what problems might it cause?
This research aims to explore different aspects of NLP and how it is changing the status quo of gender equality. Using a speculative design mindset, it speculates on how gender perceptions may be impacted when AI becomes more mature and widespread in 20 years. Finally, the research presents the findings through a curatorial design that conveys the impact of NLP on gender bias to the public, aiming to raise awareness.
The literature review first discusses the basic definition of NLP and its various applications. It then examines the gender bias issues brought about by NLP, including defamation, stereotypes, identification biases, and underrepresentation. These biases are amplified in AI systems, potentially leading to a vicious cycle of gender inequality. The research then explores the design thinking and speculative design methods, such as defining "what if" questions and setting scenarios, to lay the foundation for the subsequent creative work. Lastly, through the lens of curatorial design and its relevance to addressing social issues, the research hopes to spark more public discussion and attention through the exhibition.
In the creative process, guided by speculative design and focusing on domains where natural language processing is increasingly prevalent - history, news, and law - the research created an exhibition titled "Future Gender: Dialogue". It is divided into two main sections: the "Present" section showcases three exhibits that describe NLP, its gender bias examples, causes, and manifestations; the "Future" section presents three exhibits: "Future Chronicle", "Future News Generator", and "Future Courtroom", to evoke the audience's imagination and stimulate discussion about the future. The "Future Gender Dialogues" exhibition was held at the National Taiwan University of Science and Technology's Design Lab from July 4 to July 8, 2024, showcasing 7 design works.
Keywords: Natural Language Processing, Gender Bias, Speculative Design, Curatorial Design

中文摘要 I ABSTRACT II 誌謝 III 目錄 IV 圖目錄V 表目錄 VI 第一章 緒論1 1.1 研究創作背景與動機 1 1.2 研究創作目的 4 1.3 名詞解釋 5 1.4 研究創作架構與流程 6 第二章 文獻探討 8 2.1 自然語言處理 8 2.2 自然語言處理與性別偏見 11 2.3 推測設計 21 2.4 策展設計 29 第三章 研究創作方法及案例分析 34 3.1 研究方法 34 3.2 創作方法 35 3.3 案例分析 37 3.4 推測設計之創作脈絡 45 第四章 展場規劃與創作成果 50 4.1 展場規劃 50 4.2 展覽命名與主視覺設計 52 4.3 展覽設計 60 第五章 結論與建議 84 5.1 創作方法結論 84 5.2 觀展者回饋與展覽成效 88 5.3 其他建議 93 參考文獻 94

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全文公開日期 2026/08/21 (校外網路)
全文公開日期 2026/08/21 (國家圖書館:臺灣博碩士論文系統)
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