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題名 生成式人工智慧與其著作權適格議題探討－ 以提示詞角色為核心
Exploring copyright eligibility issues of generative AI: focusing on the role of prompts
作者 陳宜謙
Chen, Yi-Chian
貢獻者 宋皇志
Sung, Huang-Chih
陳宜謙
Chen, Yi-Chian
關鍵詞 生成式人工智慧
圖像生成式人工智慧
提示詞
人工智慧與著作權適格性
人工智慧創作
Generative Artificial Intelligence
prompts
AI and copyright eligibility
AI-generated works
日期 2025
上傳時間 3-Mar-2025 15:42:50 (UTC+8)
摘要 近年來，生成式人工智慧技術快速發展，其應用場域持續擴大，尤以圖像生成技術之進展最為顯著，不僅簡化創作流程，更提升創作之可擴展性與多樣性，成為推動數位創意、娛樂及醫療等產業創新之關鍵動力。然而，此種技術發展模式衍生了創作主體認定之法律爭議，特別是在開發者與使用者角色分離之情況下，人工智慧創作呈現出有別於傳統「人類直接創作」之多角色分工模式。此一現象不僅模糊了使用者作為著作人之定位，更引發其對作品間控制力及貢獻度之質疑。就提示詞之法律定位而言，其撰寫過程已然構成完整之表達行為，蓋完備之提示詞不僅包含作品之核心要素、風格特徵及具體細節等完整描述，更於經由人工智慧系統處理並生成最終作品時，完備了作品表達之基本要件。本研究透過分析提示詞特性與應用與美中兩國之司法實務見解，發現提示詞之著作權適格性應以其完備性為判斷依據，唯有在確實完成抽象構想至具體表達之轉化時，方具備著作權保護之標的適格性。此等判斷不僅需要更細緻之法律評價標準，更應考量數位時代之創新特性，以期在著作權保護與技術發展間取得平衡。
In recent years, generative artificial intelligence (AI) technology has developed rapidly, with its applications expanding across various fields. The progress in image generation technology has been particularly remarkable, simplifying the creative process while enhancing scalability and diversity in creation. This advancement has become a key driver of innovation in industries such as digital creativity, entertainment, and healthcare. However, the development of such technologies has also raised legal disputes regarding the recognition of creative authorship. Especially in cases where the roles of developers and users are distinct, AI-generated works present a multi-role division of labor that differs from traditional "human direct creation." This phenomenon not only blurs the user's position as an author but also raises questions about their control and contribution to the work. Regarding the legal status of prompts, the process of composing prompts constitutes a complete act of expression. Comprehensive prompts often include a detailed description of core elements, stylistic characteristics, and specific details of the work. When processed through an AI system to generate the final work, these prompts fulfill the fundamental requirements for the expression of a work. Through an analysis of the characteristics and applications of prompts, as well as judicial practices in the U.S. and China, this study finds that the copyright eligibility of prompts should be determined based on their completeness. Only when the transformation from abstract concepts to concrete expression is fully realized can prompts be considered eligible for copyright protection. This determination requires more refined legal evaluation standards and must also consider the innovative characteristics of the digital age to strike a balance between copyright protection and technological development.
參考文獻 參考文獻 一、 專書 1. 謝銘洋（2024）智慧財產權法修訂十三版，元照出版。 2. 蔡明誠（2023）智慧權法原理，元照出版。 二、 期刊論文 1. 許力儒、莊弘鈺（2022）。人工智慧創作之著作權適格與歸屬－法律與技術之綜合觀點。萬國法律, 241（2 月）。 2. 胡中瑋 （2016）。編輯著作原創性及創作性之研究―以美國法及日本法為中心，智慧財產權月刊，215(11)。 3. 黃齡玉 （2023）。ChatGPT熱潮下所引發生成型AI作品可否享有著作權問題之探討。司法周刊，2173。 4. 王遷 （2024）。三论人工智能生成的内容在著作权法中的定位。法商研究，41(3)。 5. Tiantian, H. (2024). AI originality revisited: Can we prompt copyright over AI-generated pictures? GRUR International. https://doi.org/10.1093/grurint/ikae024 6. Yadav, A. B. (2024). An analysis on the use of image design with generative AI technologies. International Journal of Trend in Scientific Research and Development, 8(1), 596–599. Retrieved February 2024, from https://www.ijtsrd.com/papers/ijtsrd63468.pdf 7. Yao, L. (2024). AI-generated content and its legal status under copyright law. Journal of Education, Humanities and Social Sciences, 35, 218–225. https://doi.org/10.54097/tz90a677 8. Wang, H. (2023). Authorship of artificial intelligence-generated works and possible system improvement in China. Beijing Law Review, 14, 901–912. https://doi.org/10.4236/blr.2023.142049 9. Chang, M., Druga, S., Fiannaca, A., Vergani, P., Kulkarni, C., Cai, C. J., & Terry, M. (2023). The prompt artists. Proceedings of the 2023 ACM CHI Conference. https://doi.org/10.1145/3591196.3593515 10. Yong, M. (2024). Prompting the e-brushes: Users as authors in generative AI. arXiv. https://doi.org/10.48550/arXiv.2406.11844 11. Yadav, A. B. (2024). An analysis on the use of image design with generative AI technologies. International Journal of Trend in Scientific Research and Development, 8(1), 596–599. Retrieved February 2024, from https://www.ijtsrd.com/papers/ijtsrd63468.pdf 12. Chang, M., Druga, S., Fiannaca, A., Vergani, P., Kulkarni, C., Cai, C. J., & Terry, M. (2023). The prompt artists. arXiv:2303.12253 [cs.HC]. https://doi.org/10.48550/arXiv.2303.12253 13. Kulkarni, C., Druga, S., Chang, M., Fiannaca, A., Cai, C., & Terry, M. (2023). A word is worth a thousand pictures: Prompts as AI design material. arXiv. https://doi.org/10.48550/arXiv.2303.12647 14. Oppenlaender, J., Linder, R., & Silvennoinen, J. (2023). Prompting AI art: An investigation into the creative skill of prompt engineering. arXiv. https://doi.org/10.48550/arXiv.2303.13534 15. Jeoseu'tiseu. (2024). Is prompt generation creative under copyright law? - Focusing on the legal consideration of creative use of generative AI. Tech Journal, 2(200), 261. https://doi.org/10.29305/tj.2024.2.200.261 16. Bukhari, S. W. R., & Hassan, S. (2024). Impact of artificial intelligence on copyright law: Challenges and prospects. Journal of Law, Science, and Society, 5, 647–656. https://doi.org/10.52279/jlss.05.04.647656 17. Qian, W. (2024). Creation is not like a box of chocolates: Why is the first judgment recognizing copyrightability of AI-generated content wrong? GRUR International. https://doi.org/10.1093/grurint/ikae082 18. Yong, M. (2024). Prompting the e-brushes: Users as authors in generative AI. arXiv. https://doi.org/10.48550/arxiv.2406.11844 19. Lee, E. (2024). Prompting progress: Authorship in the age of AI. Florida Law Review, forthcoming. https://doi.org/10.2139/ssrn.4609687 20. He, T. (2024). AI originality revisited: Can we prompt copyright over AI-generated pictures? GRUR International. https://doi.org/10.1093/grurint/ikae024 Triolo, P., & Perera, A. (2023, September 20). This is the state of generative AI in China. The China Project. Retrieved October 18, 2024, from https://thechinaproject.com/2023/09/20/this-is-the-state-of-generative-ai-in-china/ 21. Yang, Z. (2024, January 17). Four things to know about China’s new AI rules in 2024. MIT Technology Review. Retrieved October 18, 2024, from https://www.technologyreview.com/2024/01/17/1086704/china-ai-regulation-changes-2024/ 22. Todorović, M. (2024). AI and heritage: A discussion on rethinking heritage in a digital world. International Journal of Cultural and Social Studies, 10(1), 1–11. 三、 網路資料 1. 經濟部智慧財產局 (2023)，人工智慧創作之著作權適格與歸屬，Retrieved November 3, 2024, from https://www.tipo.gov.tw/tw/cp-885-922218-af30e-1.html 2. 余惠如(2023) 。生成式AI對著作權的挑戰(上). 聖島律所, 25(10)。Retrieved December 12, 2024, from https://www.saint- island.com.tw /TW/Knowledge/Knowledge_Info.aspx?CID=714&ID=62768&IT=Know_0_1 3. 王思原(2023) 。生成式AI產出之著作權登記：USCORB 2023年《Théâtre D'opéra Spatial》著作權登記案. 北美智權報, 345. Retrieved December 12, 2024, from http://www.naipo.com/Portals/1/web_tw/Knowledge_Center/Infringement_Cases/IPNC_231122_0302.htm 4. 劉汶渝 (2023)。AI作圖之著作權爭議—以北京互聯網法院判決為中心。台灣人工智慧行動網。https://ai.iias.sinica.edu.tw/copyright-of-ai-generated-image-china/ 5. 董文濤 (2023)。AI或成為版權法的終結者－兼評AI圖片版權侵權案。錦天城律師事務所。https://www.allbrightlaw.com/CN/10475/702a38f6a53594b5.aspx 6. 科技產業資訊室 (2017)。科技產業資訊。https://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=13597 7. WIPO. (2024). Patent landscape report - Generative artificial intelligence (GenAI). Retrieved November 3, 2024, from https://www.wipo.int/web-publications/patent-landscape-report-generative-artificial-intelligence-genai/en/1-generative-ai-the-main-concepts.html 8. U.S. Patent and Trademark Office. (2020, October). Public views on artificial intelligence and intellectual property policy. Retrieved December 12, 2024, from https://www.uspto.gov/about-us/news-updates/uspto-releases-report-artificial-intelligence-and-intellectual-property 9. Library of Congress Copyright Office. (2023). Copyright registration guidance: Works containing material generated by artificial intelligence. Washington, D.C. 10. European Commission and European Parliament. (2023). Proposal for a regulation of the European Parliament and of the Council on laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain union legislative acts. Retrieved October 18, 2024, from https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.html 11. United States Copyright Office. (2021, January 28). Copyrightable authorship: What can be registered. Retrieved December 12, 2024, from https://www.copyright.gov/comp3/chap300/ch300-copyrightable-authorship.pdf 12. University of Illinois Urbana-Champaign Library Guides. (2024). Introduction to generative AI. Retrieved from https://guides.library.illinois.edu/generativeAI 13. Nvidia. (2023). What is generative AI? Retrieved October 18, 2024, from https://www.nvidia.com/en-us/glossary/generative-ai/ 14. McKinsey. (2024). What is generative AI? Retrieved October 18, 2024, from https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai 15. Boston Consulting Group. (2023). Designing generative AI products that users will love. Retrieved December 18, 2024, from https://www.bcg.com/publications/2023/designing-genai-products-for-user-delight?recommendedArticles=true 16. Microsoft. (n.d.). Project InnerEye: Democratizing medical imaging AI. Retrieved October 18, 2024, from https://www.microsoft.com/en-us/research/project/medical-image-analysis/ 17. Antier Solutions. (n.d.). Generative AI for NFTs: The complete guide. Retrieved October 18, 2024, from https://www.antiersolutions.com/generative-ai-for-nfts-the-complete-guide/ 18. NVIDIA Clara. (n.d.). Retrieved October 18, 2024, from https://www.nvidia.com/zh-tw/clara/medical-imaging/ 19. Brockman, G., & Sutskever, I. (n.d.). Introducing OpenAI. OpenAI Blog. Retrieved October 18, 2024, from https://openai.com/blog/introducing-openai 20. Kingson, J. (2023). Runway brings AI movie-making to the masses. Axios. Retrieved October 18, 2024, from https://www.axios.com/2023/05/05/runway-generative-ai-chatgpt-video 21. Nemec, D., & Rann, L. (2023). AI and patent law: Balancing innovation and inventorship. Skadden Quarterly Insights. Retrieved October 18, 2024, from https://www.skadden.com/insights/publications/2023/04/quarterly-insights/ai-and-patent-law 22. Skadden Arps Slate Meagher & Flom LLP (2023). Copyright Office issues guidance on AI-generated works, stressing human authorship requirement. Lexology. Retrieved November 3, 2024, from https://www.lexology.com/library/detail.aspx?g=493b0454-ebd6-4920-a116-bf9aa25cf7d6 23. Gillis, A. (2023). Responsible AI. TechTarget. Retrieved December 16, 2024, from https://www.techtarget.com/searchenterpriseai/definition/responsible-AI 24. Narayan, J., Hu, K., Coulter, M., & Mukherjee, S. (2023). Elon Musk and others urge AI pause, citing 'risks to society.' Reuters. Retrieved October 18, 2024, from https://www.reuters.com/technology/musk-experts-urge-pause-training-ai-systems-that-can-outperform-gpt-4-2023-03-29/ 25. Baxter, K., & Schlesinger, Y. (2023). Managing the risks of generative AI. Harvard Business Review. Retrieved December 18, 2024, from https://hbr.org/2023/06/managing-the-risks-of-generative-ai 26. Deloitte. (n.d.). AI study: Over 60 percent use artificial intelligence at work – almost half of all employees are worried about losing their jobs. Deloitte Press Release. Retrieved December 16, 2024, from https://www2.deloitte.com/ch/en/pages/press-releases/articles/ai-study-almost-half-of-all-employees-are-worried-about-losing-their-jobs.html 27. Ali, S., & Ford, F. (2023). Generative AI and cybersecurity: Strengthening both defenses and threats. Bain & Company. Retrieved December 18, 2024, from https://www.bain.com/insights/generative-ai-and-cybersecurity-strengthening-both-defenses-and-threats-tech-report-2023/ 28. Cambridge Dictionary. (n.d.). Prompt engineering. Retrieved November 20, 2024, from https://dictionary.cambridge.org/dictionary/english-chinese-traditional/prompt-engineering 29. AWS. (n.d.). What is prompt engineering? Retrieved November 20, 2024, from https://aws.amazon.com/tw/what-is/prompt-engineering/ 30. Economic Times. (2024). Prompt engineers wanted: Tech companies hunt for people who speak the AI language. Retrieved November 20, 2024, from https://economictimes.indiatimes.com/tech/technology/prompt-engineers-wanted-tech-companies-hunt-for-people-who-speak-the-ai-language/articleshow/112050140.cms?from=mdr 31. Bloomberg Law. (2024). AI art copyright remains doubtful after appeals court argument. Retrieved December 12, 2024, from https://news.bloomberglaw.com/ip-law/ai-art-copyright-remains-doubtful-after-appeals-court-argument 32. Eliot, L. (2024). Seriously questioning whether prompt generators for generative AI that produce AI-written prompts are better than human-devised prompts. Forbes. Retrieved November 20, 2024, from https://www.forbes.com/sites/lanceeliot/2024/08/01/seriously-questioning-whether-prompt-generators-for-generative-ai-that-produce-ai-written-prompts-are-better-than-human-devised-prompts/ 33. CNN. (2022). AI won an art contest, and artists are furious. Retrieved December 12, 2024, from https://edition.cnn.com/2022/09/03/tech/ai-art-fair-winner-controversy/index.html 34. Roose, K. (2022). An A.I.-generated picture won an art prize. Artists aren’t happy. The New York Times. Retrieved December 12, 2024, from https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html 35. Denver Post. (2023). Global controversy after AI art-win prompts rule changes at Colorado State Fair. Retrieved December 12, 2024, from https://www.denverpost.com/2023/09/01/ai-art-colorado-state-fair-2023-rule-changes-global-controversy/ 四、 生成式人工智慧平台官方網站 1. OpenAI. DALL·E 3. Retrieved October 18, 2024, from https://openai.com/index/dall-e-3 2. MidJourney. Retrieved December 24, 2024, from https://www.midjourney.com/explore?tab=top 3. DreamStudio. Retrieved December 24, 2024, from https://dreamstudio.ai/ 4. Artbreeder. Retrieved December 24, 2024, from https://www.artbreeder.com/ 5. RunwayML. Retrieved November 3, 2024, from https://runwayml.com/ 6. Deep Dream Generator. Retrieved November 3, 2024, from https://deepdreamgenerator.com/ 7. Fotor. Retrieved November 3, 2024, from https://www.fotor.com/ 8. NightCafe Studio. Retrieved November 3, 2024, from https://creator.nightcafe.studio/ 9. PromptBase. AI prompt marketplace. Retrieved November 20, 2024, from https://promptbase.com/ 五、 參考判決 1. Stephen Thaler v. Shira Perlmutter, 23-5233 (D.C. Cir.). Retrieved December 12, 2024, from https://ipwatchdog.com/wp-content/uploads/2024/04/Thaler-reply-brief.pdf 2. United States Copyright Office. Theatre D’opéra Spatial: Correspondence ID: 1-5T5320R. Retrieved December 12, 2024, from https://www.copyright.gov/rulings-filings/review-board/docs/Theatre-Dopera-Spatial.pdf 3. Kasunic, R. (2023). Zarya of the Dawn: Registration # VAu001480196. Washington, D.C.: United States Copyright Office. 4. 中華人民共和國北京互聯網法院 ，(2023)京0491民初11279號判決。https://mp.weixin.qq.com/s/Wu3-GuFvMJvJKJobqqq7vQ 5. 知識庫 (2023)。AI生成圖片著作權侵權第一案判決書。https://mp.weixin.qq.com/s/Wu3-GuFvMJvJKJobqqq7vQ 6. 廣東省深圳市南山區人民法院 ，(2019)粤0305民初14010號民事判決書。
描述 碩士
國立政治大學
科技管理與智慧財產研究所
110364205
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110364205
資料類型 thesis
dc.contributor.advisor 宋皇志zh_TW
dc.contributor.advisor Sung, Huang-Chihen_US
dc.contributor.author (Authors) 陳宜謙zh_TW
dc.contributor.author (Authors) Chen, Yi-Chianen_US
dc.creator (作者) 陳宜謙zh_TW
dc.creator (作者) Chen, Yi-Chianen_US
dc.date (日期) 2025en_US
dc.date.accessioned 3-Mar-2025 15:42:50 (UTC+8)-
dc.date.available 3-Mar-2025 15:42:50 (UTC+8)-
dc.date.issued (上傳時間) 3-Mar-2025 15:42:50 (UTC+8)-
dc.identifier (Other Identifiers) G0110364205en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/156106-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 科技管理與智慧財產研究所zh_TW
dc.description (描述) 110364205zh_TW
dc.description.abstract (摘要) 近年來，生成式人工智慧技術快速發展，其應用場域持續擴大，尤以圖像生成技術之進展最為顯著，不僅簡化創作流程，更提升創作之可擴展性與多樣性，成為推動數位創意、娛樂及醫療等產業創新之關鍵動力。然而，此種技術發展模式衍生了創作主體認定之法律爭議，特別是在開發者與使用者角色分離之情況下，人工智慧創作呈現出有別於傳統「人類直接創作」之多角色分工模式。此一現象不僅模糊了使用者作為著作人之定位，更引發其對作品間控制力及貢獻度之質疑。就提示詞之法律定位而言，其撰寫過程已然構成完整之表達行為，蓋完備之提示詞不僅包含作品之核心要素、風格特徵及具體細節等完整描述，更於經由人工智慧系統處理並生成最終作品時，完備了作品表達之基本要件。本研究透過分析提示詞特性與應用與美中兩國之司法實務見解，發現提示詞之著作權適格性應以其完備性為判斷依據，唯有在確實完成抽象構想至具體表達之轉化時，方具備著作權保護之標的適格性。此等判斷不僅需要更細緻之法律評價標準，更應考量數位時代之創新特性，以期在著作權保護與技術發展間取得平衡。zh_TW
dc.description.abstract (摘要) In recent years, generative artificial intelligence (AI) technology has developed rapidly, with its applications expanding across various fields. The progress in image generation technology has been particularly remarkable, simplifying the creative process while enhancing scalability and diversity in creation. This advancement has become a key driver of innovation in industries such as digital creativity, entertainment, and healthcare. However, the development of such technologies has also raised legal disputes regarding the recognition of creative authorship. Especially in cases where the roles of developers and users are distinct, AI-generated works present a multi-role division of labor that differs from traditional "human direct creation." This phenomenon not only blurs the user's position as an author but also raises questions about their control and contribution to the work. Regarding the legal status of prompts, the process of composing prompts constitutes a complete act of expression. Comprehensive prompts often include a detailed description of core elements, stylistic characteristics, and specific details of the work. When processed through an AI system to generate the final work, these prompts fulfill the fundamental requirements for the expression of a work. Through an analysis of the characteristics and applications of prompts, as well as judicial practices in the U.S. and China, this study finds that the copyright eligibility of prompts should be determined based on their completeness. Only when the transformation from abstract concepts to concrete expression is fully realized can prompts be considered eligible for copyright protection. This determination requires more refined legal evaluation standards and must also consider the innovative characteristics of the digital age to strike a balance between copyright protection and technological development.en_US
dc.description.tableofcontents 第一章        緒論 8 第一節        研究動機與研究目的 8 第二節        研究方法 9 第三節        研究範圍與限制 10 第四節        本文架構 11 第二章        圖像生成式人工智慧之發展與應用 12 第一節        圖像生成式人工智慧技術概論 12 第二節        人工智慧之圖像生成應用與設計工具 13 第一項        圖像生成技術之多元應用場域 13 第二項        主流圖像生成平台分析 15 第三項        小結 18 第三節        圖像生成式人工智慧之應用風險 20 第三章        生成式人工智慧創作之著作權適格性探討 22 第一節        生成式人工智慧創作之法律定位 22 第一項        生成式人工智慧與創作主體之認定 22 第二項        人工智慧生成作品之著作權保護 24 第二節        提示詞在人工智慧創作中的角色 24 第一項        生成式人工智慧創作之基本流程 24 第二項        提示詞的定義、特性與價值 26 第三節        提示詞與著作表達之關聯性分析 32 第四節        小結 34 第四章        美中實務判決之比較研究 36 第一節        美國法院實務見解 37 第一項        導論 37 第二項        人工智慧創作之著作權界線－A Recent Entrance to Paradise作品案 38 第三項        藝術競賽中的人工智慧作品－Théâtre D’opéra Spatial作品案 40 第四項        人工智慧輔助創作之關鍵判準－Zarya of the Dawn作品案 42 第一款        案件事實 42 第二款        法院見解 43 第三款        本案分析 45 第五項        美國實務判決結論 46 第二節        中國法院實務見解 47 第一項        人工智慧生成內容之著作權突破－騰訊Dreamwriter案 47 第二項        圖像生成式人工智慧之新篇章－北京互聯網法院Stable Diffusion案 49 第一款        案件事實 49 第二款        法院見解 53 第三款        判決分析 56 第三項        中國實務判決結論 57 第三節        比較法觀察與啟示 58  第五章        結論與展望 60 參考文獻 62zh_TW
dc.format.extent 6190008 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110364205en_US
dc.subject (關鍵詞) 生成式人工智慧zh_TW
dc.subject (關鍵詞) 圖像生成式人工智慧zh_TW
dc.subject (關鍵詞) 提示詞zh_TW
dc.subject (關鍵詞) 人工智慧與著作權適格性zh_TW
dc.subject (關鍵詞) 人工智慧創作zh_TW
dc.subject (關鍵詞) Generative Artificial Intelligenceen_US
dc.subject (關鍵詞) promptsen_US
dc.subject (關鍵詞) AI and copyright eligibilityen_US
dc.subject (關鍵詞) AI-generated worksen_US
dc.title (題名) 生成式人工智慧與其著作權適格議題探討－ 以提示詞角色為核心zh_TW
dc.title (題名) Exploring copyright eligibility issues of generative AI: focusing on the role of promptsen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 參考文獻 一、 專書 1. 謝銘洋（2024）智慧財產權法修訂十三版，元照出版。 2. 蔡明誠（2023）智慧權法原理，元照出版。 二、 期刊論文 1. 許力儒、莊弘鈺（2022）。人工智慧創作之著作權適格與歸屬－法律與技術之綜合觀點。萬國法律, 241（2 月）。 2. 胡中瑋 （2016）。編輯著作原創性及創作性之研究―以美國法及日本法為中心，智慧財產權月刊，215(11)。 3. 黃齡玉 （2023）。ChatGPT熱潮下所引發生成型AI作品可否享有著作權問題之探討。司法周刊，2173。 4. 王遷 （2024）。三论人工智能生成的内容在著作权法中的定位。法商研究，41(3)。 5. Tiantian, H. (2024). AI originality revisited: Can we prompt copyright over AI-generated pictures? GRUR International. https://doi.org/10.1093/grurint/ikae024 6. Yadav, A. B. (2024). An analysis on the use of image design with generative AI technologies. International Journal of Trend in Scientific Research and Development, 8(1), 596–599. Retrieved February 2024, from https://www.ijtsrd.com/papers/ijtsrd63468.pdf 7. Yao, L. (2024). AI-generated content and its legal status under copyright law. Journal of Education, Humanities and Social Sciences, 35, 218–225. https://doi.org/10.54097/tz90a677 8. Wang, H. (2023). Authorship of artificial intelligence-generated works and possible system improvement in China. Beijing Law Review, 14, 901–912. https://doi.org/10.4236/blr.2023.142049 9. Chang, M., Druga, S., Fiannaca, A., Vergani, P., Kulkarni, C., Cai, C. J., & Terry, M. (2023). The prompt artists. Proceedings of the 2023 ACM CHI Conference. https://doi.org/10.1145/3591196.3593515 10. Yong, M. (2024). Prompting the e-brushes: Users as authors in generative AI. arXiv. https://doi.org/10.48550/arXiv.2406.11844 11. Yadav, A. B. (2024). An analysis on the use of image design with generative AI technologies. International Journal of Trend in Scientific Research and Development, 8(1), 596–599. Retrieved February 2024, from https://www.ijtsrd.com/papers/ijtsrd63468.pdf 12. Chang, M., Druga, S., Fiannaca, A., Vergani, P., Kulkarni, C., Cai, C. J., & Terry, M. (2023). The prompt artists. arXiv:2303.12253 [cs.HC]. https://doi.org/10.48550/arXiv.2303.12253 13. Kulkarni, C., Druga, S., Chang, M., Fiannaca, A., Cai, C., & Terry, M. (2023). A word is worth a thousand pictures: Prompts as AI design material. arXiv. https://doi.org/10.48550/arXiv.2303.12647 14. Oppenlaender, J., Linder, R., & Silvennoinen, J. (2023). Prompting AI art: An investigation into the creative skill of prompt engineering. arXiv. https://doi.org/10.48550/arXiv.2303.13534 15. Jeoseu'tiseu. (2024). Is prompt generation creative under copyright law? - Focusing on the legal consideration of creative use of generative AI. Tech Journal, 2(200), 261. https://doi.org/10.29305/tj.2024.2.200.261 16. Bukhari, S. W. R., & Hassan, S. (2024). Impact of artificial intelligence on copyright law: Challenges and prospects. Journal of Law, Science, and Society, 5, 647–656. https://doi.org/10.52279/jlss.05.04.647656 17. Qian, W. (2024). Creation is not like a box of chocolates: Why is the first judgment recognizing copyrightability of AI-generated content wrong? GRUR International. https://doi.org/10.1093/grurint/ikae082 18. Yong, M. (2024). Prompting the e-brushes: Users as authors in generative AI. arXiv. https://doi.org/10.48550/arxiv.2406.11844 19. Lee, E. (2024). Prompting progress: Authorship in the age of AI. Florida Law Review, forthcoming. https://doi.org/10.2139/ssrn.4609687 20. He, T. (2024). AI originality revisited: Can we prompt copyright over AI-generated pictures? GRUR International. https://doi.org/10.1093/grurint/ikae024 Triolo, P., & Perera, A. (2023, September 20). This is the state of generative AI in China. The China Project. Retrieved October 18, 2024, from https://thechinaproject.com/2023/09/20/this-is-the-state-of-generative-ai-in-china/ 21. Yang, Z. (2024, January 17). Four things to know about China’s new AI rules in 2024. MIT Technology Review. Retrieved October 18, 2024, from https://www.technologyreview.com/2024/01/17/1086704/china-ai-regulation-changes-2024/ 22. Todorović, M. (2024). AI and heritage: A discussion on rethinking heritage in a digital world. International Journal of Cultural and Social Studies, 10(1), 1–11. 三、 網路資料 1. 經濟部智慧財產局 (2023)，人工智慧創作之著作權適格與歸屬，Retrieved November 3, 2024, from https://www.tipo.gov.tw/tw/cp-885-922218-af30e-1.html 2. 余惠如(2023) 。生成式AI對著作權的挑戰(上). 聖島律所, 25(10)。Retrieved December 12, 2024, from https://www.saint- island.com.tw /TW/Knowledge/Knowledge_Info.aspx?CID=714&ID=62768&IT=Know_0_1 3. 王思原(2023) 。生成式AI產出之著作權登記：USCORB 2023年《Théâtre D'opéra Spatial》著作權登記案. 北美智權報, 345. Retrieved December 12, 2024, from http://www.naipo.com/Portals/1/web_tw/Knowledge_Center/Infringement_Cases/IPNC_231122_0302.htm 4. 劉汶渝 (2023)。AI作圖之著作權爭議—以北京互聯網法院判決為中心。台灣人工智慧行動網。https://ai.iias.sinica.edu.tw/copyright-of-ai-generated-image-china/ 5. 董文濤 (2023)。AI或成為版權法的終結者－兼評AI圖片版權侵權案。錦天城律師事務所。https://www.allbrightlaw.com/CN/10475/702a38f6a53594b5.aspx 6. 科技產業資訊室 (2017)。科技產業資訊。https://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=13597 7. WIPO. (2024). Patent landscape report - Generative artificial intelligence (GenAI). Retrieved November 3, 2024, from https://www.wipo.int/web-publications/patent-landscape-report-generative-artificial-intelligence-genai/en/1-generative-ai-the-main-concepts.html 8. U.S. Patent and Trademark Office. (2020, October). Public views on artificial intelligence and intellectual property policy. Retrieved December 12, 2024, from https://www.uspto.gov/about-us/news-updates/uspto-releases-report-artificial-intelligence-and-intellectual-property 9. Library of Congress Copyright Office. (2023). Copyright registration guidance: Works containing material generated by artificial intelligence. Washington, D.C. 10. European Commission and European Parliament. (2023). Proposal for a regulation of the European Parliament and of the Council on laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain union legislative acts. Retrieved October 18, 2024, from https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.html 11. United States Copyright Office. (2021, January 28). Copyrightable authorship: What can be registered. Retrieved December 12, 2024, from https://www.copyright.gov/comp3/chap300/ch300-copyrightable-authorship.pdf 12. University of Illinois Urbana-Champaign Library Guides. (2024). Introduction to generative AI. Retrieved from https://guides.library.illinois.edu/generativeAI 13. Nvidia. (2023). What is generative AI? Retrieved October 18, 2024, from https://www.nvidia.com/en-us/glossary/generative-ai/ 14. McKinsey. (2024). What is generative AI? Retrieved October 18, 2024, from https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai 15. Boston Consulting Group. (2023). Designing generative AI products that users will love. Retrieved December 18, 2024, from https://www.bcg.com/publications/2023/designing-genai-products-for-user-delight?recommendedArticles=true 16. Microsoft. (n.d.). Project InnerEye: Democratizing medical imaging AI. Retrieved October 18, 2024, from https://www.microsoft.com/en-us/research/project/medical-image-analysis/ 17. Antier Solutions. (n.d.). Generative AI for NFTs: The complete guide. Retrieved October 18, 2024, from https://www.antiersolutions.com/generative-ai-for-nfts-the-complete-guide/ 18. NVIDIA Clara. (n.d.). Retrieved October 18, 2024, from https://www.nvidia.com/zh-tw/clara/medical-imaging/ 19. Brockman, G., & Sutskever, I. (n.d.). Introducing OpenAI. OpenAI Blog. Retrieved October 18, 2024, from https://openai.com/blog/introducing-openai 20. Kingson, J. (2023). Runway brings AI movie-making to the masses. Axios. Retrieved October 18, 2024, from https://www.axios.com/2023/05/05/runway-generative-ai-chatgpt-video 21. Nemec, D., & Rann, L. (2023). AI and patent law: Balancing innovation and inventorship. Skadden Quarterly Insights. Retrieved October 18, 2024, from https://www.skadden.com/insights/publications/2023/04/quarterly-insights/ai-and-patent-law 22. Skadden Arps Slate Meagher & Flom LLP (2023). Copyright Office issues guidance on AI-generated works, stressing human authorship requirement. Lexology. Retrieved November 3, 2024, from https://www.lexology.com/library/detail.aspx?g=493b0454-ebd6-4920-a116-bf9aa25cf7d6 23. Gillis, A. (2023). Responsible AI. TechTarget. Retrieved December 16, 2024, from https://www.techtarget.com/searchenterpriseai/definition/responsible-AI 24. Narayan, J., Hu, K., Coulter, M., & Mukherjee, S. (2023). Elon Musk and others urge AI pause, citing 'risks to society.' Reuters. Retrieved October 18, 2024, from https://www.reuters.com/technology/musk-experts-urge-pause-training-ai-systems-that-can-outperform-gpt-4-2023-03-29/ 25. Baxter, K., & Schlesinger, Y. (2023). Managing the risks of generative AI. Harvard Business Review. Retrieved December 18, 2024, from https://hbr.org/2023/06/managing-the-risks-of-generative-ai 26. Deloitte. (n.d.). AI study: Over 60 percent use artificial intelligence at work – almost half of all employees are worried about losing their jobs. Deloitte Press Release. Retrieved December 16, 2024, from https://www2.deloitte.com/ch/en/pages/press-releases/articles/ai-study-almost-half-of-all-employees-are-worried-about-losing-their-jobs.html 27. Ali, S., & Ford, F. (2023). Generative AI and cybersecurity: Strengthening both defenses and threats. Bain & Company. Retrieved December 18, 2024, from https://www.bain.com/insights/generative-ai-and-cybersecurity-strengthening-both-defenses-and-threats-tech-report-2023/ 28. Cambridge Dictionary. (n.d.). Prompt engineering. Retrieved November 20, 2024, from https://dictionary.cambridge.org/dictionary/english-chinese-traditional/prompt-engineering 29. AWS. (n.d.). What is prompt engineering? Retrieved November 20, 2024, from https://aws.amazon.com/tw/what-is/prompt-engineering/ 30. Economic Times. (2024). Prompt engineers wanted: Tech companies hunt for people who speak the AI language. Retrieved November 20, 2024, from https://economictimes.indiatimes.com/tech/technology/prompt-engineers-wanted-tech-companies-hunt-for-people-who-speak-the-ai-language/articleshow/112050140.cms?from=mdr 31. Bloomberg Law. (2024). AI art copyright remains doubtful after appeals court argument. Retrieved December 12, 2024, from https://news.bloomberglaw.com/ip-law/ai-art-copyright-remains-doubtful-after-appeals-court-argument 32. Eliot, L. (2024). Seriously questioning whether prompt generators for generative AI that produce AI-written prompts are better than human-devised prompts. Forbes. Retrieved November 20, 2024, from https://www.forbes.com/sites/lanceeliot/2024/08/01/seriously-questioning-whether-prompt-generators-for-generative-ai-that-produce-ai-written-prompts-are-better-than-human-devised-prompts/ 33. CNN. (2022). AI won an art contest, and artists are furious. Retrieved December 12, 2024, from https://edition.cnn.com/2022/09/03/tech/ai-art-fair-winner-controversy/index.html 34. Roose, K. (2022). An A.I.-generated picture won an art prize. Artists aren’t happy. The New York Times. Retrieved December 12, 2024, from https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html 35. Denver Post. (2023). Global controversy after AI art-win prompts rule changes at Colorado State Fair. Retrieved December 12, 2024, from https://www.denverpost.com/2023/09/01/ai-art-colorado-state-fair-2023-rule-changes-global-controversy/ 四、 生成式人工智慧平台官方網站 1. OpenAI. DALL·E 3. Retrieved October 18, 2024, from https://openai.com/index/dall-e-3 2. MidJourney. Retrieved December 24, 2024, from https://www.midjourney.com/explore?tab=top 3. DreamStudio. Retrieved December 24, 2024, from https://dreamstudio.ai/ 4. Artbreeder. Retrieved December 24, 2024, from https://www.artbreeder.com/ 5. RunwayML. Retrieved November 3, 2024, from https://runwayml.com/ 6. Deep Dream Generator. Retrieved November 3, 2024, from https://deepdreamgenerator.com/ 7. Fotor. Retrieved November 3, 2024, from https://www.fotor.com/ 8. NightCafe Studio. Retrieved November 3, 2024, from https://creator.nightcafe.studio/ 9. PromptBase. AI prompt marketplace. Retrieved November 20, 2024, from https://promptbase.com/ 五、 參考判決 1. Stephen Thaler v. Shira Perlmutter, 23-5233 (D.C. Cir.). Retrieved December 12, 2024, from https://ipwatchdog.com/wp-content/uploads/2024/04/Thaler-reply-brief.pdf 2. United States Copyright Office. Theatre D’opéra Spatial: Correspondence ID: 1-5T5320R. Retrieved December 12, 2024, from https://www.copyright.gov/rulings-filings/review-board/docs/Theatre-Dopera-Spatial.pdf 3. Kasunic, R. (2023). Zarya of the Dawn: Registration # VAu001480196. Washington, D.C.: United States Copyright Office. 4. 中華人民共和國北京互聯網法院 ，(2023)京0491民初11279號判決。https://mp.weixin.qq.com/s/Wu3-GuFvMJvJKJobqqq7vQ 5. 知識庫 (2023)。AI生成圖片著作權侵權第一案判決書。https://mp.weixin.qq.com/s/Wu3-GuFvMJvJKJobqqq7vQ 6. 廣東省深圳市南山區人民法院 ，(2019)粤0305民初14010號民事判決書。zh_TW