Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/131666
|
Title: | 人工智慧法律主體之論爭─以人工智慧創作為例 Debate about the Legal Subject of Artificial Intelligence: Taking Artificial Intelligence Creation as an Example |
Authors: | 翁呈瑋 Wong, Cheng-Wei |
Contributors: | 陳起行 翁呈瑋 Wong, Cheng-Wei |
Keywords: | 人工智慧 法律主體 人工智慧創作 著作權法 Artificial Intelligence Legal subject Artificial Intelligence creation Copyright law |
Date: | 2020 |
Issue Date: | 2020-09-02 12:22:35 (UTC+8) |
Abstract: | 本研究之目的在於,透過觀察人工智慧創作所產生之議題,以及相關人工智慧與法律主體之間的長期論爭,來檢視兩者相互作用之下,是否可得證人工智慧在某些法領域上存在著將其認定為法律主體之優勢。
首先,本文考察現有人工智慧創作之科技,並檢視各國現有著作權法規範,以呈現目前已逐漸產生規範不足以因應新科技之情形;其次,本文整理過往之法律主體理論,並分析了是否得將人工智慧視為法律主體之見解;最後,本文在預設人工智慧之創作具備可著作性、承認人工智慧得為事實上之創作者兩大前提之下,以人工智慧創作在著作權法上之權利歸屬爭議,進一步分析將人工智慧法律主體化之方案與其他方案之間的優劣。
本文之貢獻存在於兩方面。第一,本文在各個法律主體理論的分析上,指出就法規技術而言,無法否定人工智慧作為法律主體之可能性,並且進一步論述應以務實、分析利弊之觀點檢視在個別法領域上將其主體化可能產生之優劣。第二,本文以人工智慧創作與著作權法之權利爭議為例,指出將人工智慧視為法律主體看待,可能產生較其他方案所無之法律關係以及權利歸屬認定之優勢。
本文建議未來立法者及學說討論上,應正視人工智慧作為法律主體之可能,將人工智慧法律主體化方案亦應納入未來著作權法規範之考量,並且應得以此前提為基礎,進一步具體分析主體化方案在其他法領域之利弊。 The purpose of this study is to examine whether there is an advantage in identifying Artificial Intelligence (AI) as a legal subject in certain fields of law by observing the legal issues arising from AI creation and the long-standing disputes between AI and the concept of legal subjects.
First, this study examines the current technology of AI creation, and the existing copyright laws and regulations of various countries to show that the current regulations are gradually becoming insufficient to address the legal issues of new AI technologies; Secondly, this study examines past legal subject theories and analyzes whether AI can be regarded as a legal subject; Finally, this study, presupposing that AI creation is copyrightable and recognizing that AIs can be de facto authors, in the dispute over the ownership of copyrights, further analyzes the pros and cons of the idea of AI as a legal subject and other schemes.
The contribution of this study lies in at least two dimensions. First, in the analysis of the various legal subject theories, this study points out that as far as regulations are concerned, the possibility of AI as a legal subject cannot be denied, and further arguments in individual legal fields should be from a pragmatic and analytical perspective of the pros and cons of subjectivity. Second, this study takes as an example the dispute of rights concerning AI creation and copyright law, and finds that regarding AI as a legal subject has advantages over other schemes in terms of legal relations and ownership recognition.
I argue that in the future, legislators and theoretical discussions should acknowledge the possibility of AI as a legal subject, and take “AI as a legal subject” into consideration in the future copyright norms. This “pros and cons analysis” premise may also be used as the basis for further considerations in other fields of law. |
Reference: | 壹、中文部分 一、專書 1.W. Friedmann(著),楊日然等(譯)(1984),《法理學》,司法院。 2.蕭雄淋(著)(2015),《職務著作之理論與實務》,五南出版。 3.謝銘洋(著)(2008),《智慧財產權法》,第1版,元照出版公司。 4.羅明通(著)(2009),《著作權法論(I)》,第7版,作者自版。 二、專書論文 1.J. Locke(著),葉啟芳,瞿菊農(譯)(1986),〈論財產〉,收於:政府論次講》,頁17-31,唐山出版社。 2.吳從周(2018),〈初探AI的民事責任—聚焦反思臺灣之實務見解〉,收於:劉靜怡(編),《人工智慧相關法律議題芻議》,頁89-114,元照出版公司。 3.沈宗倫(2018),〈人工智慧科技與智慧財產權法制的交會與調和-以著作權法與專利權法之權利歸屬為中心〉,收於:劉靜怡(編),《人工智慧相關法律議題芻議》,頁181-217,元照出版公司。 4.顏厥安(2018),〈人之苦難,機器恩典必看顧安慰〉,收於:劉靜怡(編),《人工智慧相關法律議題芻議》,頁48-85,元照出版公司。 三、學位論文 1.何孟遠(2019),《論人工智慧之創作與著作權侵權》,世新大學智慧財產權研究所碩士論文。 2.吳宗謀(2004),《再訪法人論爭—一個概念的考掘》,臺灣大學法律學研究所學位論文。 3.翁岳暄(2014),《服务机器人安全监管问题初探——以开放组织风险为中心》,北京大学法学院博士论文。 4.許修豪(1999),《非人類動物的基本權利-從黑猩猩談起》,國立臺灣大學法律學研究所碩士論文。 5.郭建甫(2018),《人工智慧生成作品之著作權問題研究》,國立政治大學科技管理與智慧財產研究所碩士論文。 6.陳昭妤(2017),《論人工智慧創作與發明之法律保護: 以著作權與專利權權利主體為中心》,國立政治大學科技管理與智慧財產研究所碩士論文。 7.熊葦藝(2018),《人工智慧與人格權之研究》,中正大學法律學研究所學位論文。 四、期刊論文 1.毛舞雲(2019),〈人工智慧創作品之著作權保護──從繪畫機器人談起〉,《交大法學評論》,5期,頁83-123。 2.王筱如(2018),〈從「猴子自拍照案」看非人類創作之著作權保護〉,《智慧財產權月刊》,239卷5-17。 3.李慧敏(2018),〈智慧機器人法律主體的構造──理論爭鳴、實踐探索與發展趨勢〉,《財產法暨經濟法》,54期。 4.沈宗倫(2015),〈著作權法之基本用語與法律體系概述〉,《月旦法學教室》,150期,頁68-78。 5.林利芝(2018),〈初探人工智慧的著作權爭議──以「著作人身分」為中心〉,《智慧財產權》,237卷61-78。 6.陳起行(1997),〈由美國不正競爭法之排除適用探討智慧財產權法理念〉,《政大法學評論》,57期,頁451-466。 7.陳龍昇(2019),〈由日本立法政策探討人工智慧創作成果與智慧財產權〉,《萬國法律》,226期,頁40-54。 8.蔡達智(2019),〈機器人法律地位及其應有規範取向〉,《興大法學》,25期,頁1-41。 9.謝銘洋(2003),〈智慧財產權:第七講—智慧財產權之權利主體與權利歸屬〉,《月旦法學教室》,10期,頁111-119。 10.謝銘洋、陳家駿、莊弘鈺、李紀寬(2019),〈AI(人工智慧)判決〉,《月旦裁判時報》,86期,頁99-114。 五、會議論文 1.G. Gesk(2019),〈人工智慧享受電子人格的正當性〉,收於:2019年第二屆人工智慧與法律國際學術研討會「新時代的法律衝擊:一場AI與法律的國際思辨」大會手冊》,頁139-145。 2.松尾剛行(2019),〈關於AI的人格〉,收於:2019年第二屆人工智慧與法律國際學術研討會「新時代的法律衝擊:一場AI與法律的國際思辨」大會手冊》,頁147-153。 六、政府報告 1.曾更瑩、吳志光等(編)(2018),《「人工智慧之相關法規國際發展趨勢與因應」委託研究計畫結案報告》,國家發展委員會委託理律法律事務所研究。 2.蕭雄淋(著)(2010),《著作權法職務著作之研究期末報告》,經濟部智慧財產局。
貳、日文部分 一、專書 1.斉藤博(著)(2007),《著作権法(第三版)》,有斐閣。 二、政府報告 1.文化庁(1993),著作権審議会第9小委員会(コンピュータ創作物関係)報告書,https://www.cric.or.jp/db/report/h5_11_2/h5_11_2_main.html#1 (最後瀏覽日:2020.5.3)。 1.知的財産戦略本部(編)(2016),《知的財産推進計画2016》。 2.知的財産戦略本部(編)(2017),《知的財産推進計画2017》。 3.知的財産戦略本部(編)(2019),《知的財産推進計画2019》。 4.知的財産戦略推進事務局(2016),AIによって生み出される創作物の取扱い(討議用),https://www.kantei.go.jp/jp/singi/titeki2/tyousakai/kensho_hyoka_kikaku/2016/jisedai_tizai/dai4/siryou2.pdf (最後瀏覽日:2020.5.2). 三、網路資料 1.京都新聞(2020),架空アイドルを自動生成、第3のAI 京大生らベンチャー「データグリッド」が注目される理由,https://www.kyoto-np.co.jp/articles/-/178357 (最後瀏覽日:2020.6.7)。 2.株式会社データグリッド. Retrieved from https://datagrid.co.jp/ (最後瀏覽日:2020.6.8)。
參、英文部分 一、專書 1.V. A. Kurki. (2019). A Theory of Legal Personhood: Oxford University Press. 二、專書論文 1.J. Carpenter. (2013). Just doesn’t look right: Exploring the impact of humanoid robot integration into explosive ordnance disposal teams. In R. Luppicini (Ed.), Handbook of research on technoself: Identity in a technological society (pp. 609-636): IGI Global. 2.J. Frow. (2019). Personhood. In M. D. M. Simon Stern, and Bernadette Meyler (Ed.), The Oxford Handbook of Law and Humanities (pp. 273-289). 3.K. Darling. (2017). `Who`s Johnny?`Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy. In P. Lin, K. Abney and R. Jenkins (Eds.), Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence (Vol. 2, pp. 173-188): Oxford University Press. 三、學位論文 1.B. Allgrove. (2004). Legal Personality for Artificial Intellects: Pragmatic Solution or Science Fiction? (Master of Philosophy), University of Oxford. 四、期刊論文 1.A. Bridy. (2012). Coding creativity: copyright and the artificially intelligent author. Stan. Tech. L. Rev., 5. 2.A. Hertzmann. (2018). Can computers create art? Arts, 7(2). 3. A. Iannì and M. W. Monterossi. (2017). Artificial autonomous agents and the question of electronic personhood: a path between subjectivity and liability. Griffith Law Review, 26(4), 563-592. 4.A. R. Miller. (1993). Copyright Protection for Computer Programs, Databases, and Computer-Generated Works: Is Anything New Since CONTU? Harvard Law Review, 977-1073. 5.A. Ramalho. (2017). Will Robots Rule the (Artistic) World? A Proposed Model for the Legal Status of Creations by Artificial Intelligence Systems. Journal of Internet Law. 6.B. Brożek and M. Jakubiec. (2017). On the legal responsibility of autonomous machines. Artificial Intelligence and Law, 25(3), 293-304. 7.B. Smith. (1928). Legal personality. The Yale Law Journal, 37(3), 283-299. 8.C. D. Stone. (1972). Should Trees Have Standing--Toward Legal Rights for Natural Objects. S. CAl. l. rev., 45, 450. 9.C. R. Davies. (2011). An evolutionary step in intellectual property rights - Artificial intelligence and intellectual property. Computer Law & Security Review, 27(6), 601-619. 10.D. J. Calverley. (2008). Imagining a non-biological machine as a legal person. Ai & Society, 22(4), 523-537. 11.D. J. Gervais. (2019). The Machine As Author. Iowa Law Review, 105. 12.E. Ch`ng. (2019). Art by Computing Machinery: Is Machine Art Acceptable in the Artworld? ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15(2s), 1-17. 13.G. Hallevy. (2010). Virtual criminal responsibility. Original L. Rev., 6, 6. 14.G. Wagner. (2019). Robot, Inc.: Personhood for Autonomous Systems? Fordham L. Rev., 88(2), 591. 15.J. C. Ginsburg and L. A. Budiardjo. (2019). Authors and Machines. Berkeley Tech. L.J, 34(2). 16.J. Chen and P. Burgess. (2019). The boundaries of legal personhood: how spontaneous intelligence can problematise differences between humans, artificial intelligence, companies and animals. Artificial Intelligence and Law, 27(1), 73-92. 17.J. Dewey. (1926). The historic background of corporate legal personality. The Yale Law Journal, 35(6), 655-673. 18.J. Ihalainen. (2018). Computer creativity: artificial intelligence and copyright. Journal of Intellectual Property Law & Practice, 13(9), 724-728. 19.J. J. Bryson, M. E. Diamantis and T. D. Grant. (2017). Of, for, and by the people: the legal lacuna of synthetic persons. Artificial Intelligence and Law, 25(3), 273-291. 20.J. J. Bryson. (2010). Robots should be slaves. Close Engagements with Artificial Companions: Key social, psychological, ethical and design issues, 63-74. 21.K. Hristov. (2016). Artificial intelligence and the copyright dilemma. IDEA, 57, 431. 22.L. B. Solum. (1992). Legal Personhood for Artificial Intelligences. North Carolina Law Review, 70, 1231. 23.M. de Cock Buning. (2016). Autonomous intelligent systems as creative agents under the eu framework for intellectual property. European Journal of Risk Regulation, 7(2), 310-322. 24.M. McLaughlin. (2019). Computer-Generated Inventions. J. Pat. & Trademark Off. Soc`y, 101. 25.M. Perry and T. Margoni. (2010). From music tracks to Google maps: Who owns computer-generated works? Computer Law & Security Review, 26(6), 621-629. 26.N. I. Brown. (2018). Artificial Authors: A Case for Copyright in Computer-Generated Works. Colum. Sci. & Tech. L. Rev., 20, 1. 27.N. Naffine. (2003). Who are law`s persons? from cheshire cats to responsible subjects. The modern law review, 66(3), 346-367. 28.P. Samuelson. (1985). Allocating ownership rights in computer-generated works. U. pitt. L. rev., 47, 1185. 29.R. D. Clifford. (1997). Intellectual Property in the Era of the Creative Computer Program. Tul. L. Rev, 71(6), 1675-1704. 30.R. P. Merges. (2004). A new dynamism in the public domain. The University of Chicago Law Review, 183-203. 31.R. Yu. (2016). The Machine Author: What Level of Copyright Protection is Appropriate for Fully Independent Computer Generated Works. U. Pa. L. Rev., 165, 1245. 32.S. Bayern. (2019). Are Autonomous Entities Possible? Northwestern University Law Review, 114(23). 33.T. Montal and Z. Reich. (2017). I, robot. You, journalist. Who is the author? Authorship, bylines and full disclosure in automated journalism. Digital journalism, 5(7), 829-849. 34.T. W. Dornis. (2020). Artificial Creativity: Emergent Works and the Void in Current Copyright Doctrine. Yale Journal of Law & Technology, 22(1), 1. 35.U. Pagallo. (2018). Apples, oranges, robots: four misunderstandings in today`s debate on the legal status of AI systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133). 36.Y.-H. Weng, C.-H. Chen and C.-T. Sun. (2009). Toward the Human–Robot Co-Existence Society: On Safety Intelligence for Next Generation Robots. International Journal of Social Robotics, 1(4), 267-282. 五、會議論文 1.I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville and Y. Bengio. (2014). Generative adversarial nets. Paper presented at the Advances in neural information processing systems. 2.J. Ciani. (2019). Learning from Monkeys: Authorship Issues Arising from AI Technology. Paper presented at the EPIA Conference on Artificial Intelligence, Cham. 3.M. Laukyte. (2019). AI as a Legal Person. Paper presented at the Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law - ICAIL `19. Retrieved from https://dl.acm.org/doi/pdf/10.1145/3322640.3326701/ (Last visited:2020.6.4). 4.T. Karras, S. Laine and T. Aila. (2019). A style-based generator architecture for generative adversarial networks. Paper presented at the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 六、政府報告 1.European Commission High-Level Expert Group on Artificial Intelligence Intelligence. (2019). A Definition of AI: Main Capabilities and Scientific Disciplines. Retrieved from https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=56341 (Last visited:2020.6.6). 2.E. Parliament. (2015). REPORT with recommendations to the Commission on Civil Law Rules on Robotics(2015/2103(INL)). 3.E. Parliament. (2017). Civil Law Rules on Robotics. European Parliament Brussels. 4.N. C. o. N. T. U. o. C. Works. (1979). Final Report of the National Commission on New Technological Uses of Copyrighted Works, July 31, 1978. 5.N. Nevejans. (2016). European civil law rules in robotics Study for the European Parliament JURI Committee. Retrieved from https://www.europarl.europa.eu/RegData/etudes/STUD/2016/571379/IPOL_STU(2016)571379_EN.pdf. (Last visited:2020.6.4). 6.U. S. C. Office. (1966). SIXTY-EIGHTH ANNUAL REPORT OF THE REGISTER OF COPYRIGHTS. Retrieved from https://www.copyright.gov/reports/annual/archive/ar-1965.pdf. (Last visited:2020.6.4). 7.W. House. (2016). Preparing for the future of Artificial Intelligence. 七、判決 1.Infopaq International A/S v Danske Dagblades Forening, Case C-5/08, ECLI:EU:C:2009:465. 2.Naruto v. Slater, 2016 WL 362231 (N.D.Cal., 2016) 3.Naruto v. Slater, 888 F.3d 418 (C.A.9 (Cal.), 2018) 八、網路資料 1.AI Dungeon. Retrieved from https://aidungeon.io/ (Last visited:2020.4.10). 2.AI Dungeon Terms of Service Last Revised on April 30, 2020. Retrieved from https://aidungeon.io/terms-of-service/ (Last visited:2020.5.4). 3.A. Elgammal, B. Liu, M. Elhoseiny and M. Mazzone. (2017). CAN: Creative adversarial networks, generating" art" by learning about styles and deviating from style norms. Retrieved from arXiv preprint arXiv:1706.07068 (Last visited:2020.4.10). 4.A. King. Talk to Transformer. Retrieved from https://talktotransformer.com/ (Last visited:2020.6.30). 5.A. Radford, J. Wu, D. Amodei, D. Amodei, J. Clark, M. Brundage and I. Sutskever. (2019). Better Language Models and Their Implications. Retrieved from https://openai.com/blog/better-language-models/ (Last visited:2020.6.4). 6.B. Tahir. (2019). How I built 9 GANS: An AI Generated Art Gallery, Part 1. Retrieved from https://towardsdatascience.com/how-i-built-9-gans-an-ai-generated-art-gallery-app-part-1-277b24718e2/ (Last visited:2019.6.8). 7.B. Tahir. 9 GANS. Retrieved from https://9gans.com/ (Last visited:2019.6.8) 8.FUTURE of Artificial Intelligence Act of 2017, (2017) Retrieved from https://www.congress.gov/bill/115th-congress/house-bill/4625/text/ (Last visited:2020.6.9). 9.G. Branwen. (2020). This Waifu Does Not Exist. Retrieved from https://www.gwern.net/TWDNE/ (Last visited:2020.4.25). 10.G. Branwen. This Waifu Does Not Exist. Retrieved from https://www.thiswaifudoesnotexist.net/ (Last visited:2020.4.25). 11.I. Solaiman, M. Brundage, J. Clark, A. Askell, A. Herbert-Voss, J. Wu, A. Radford and J. Wang. (2019). Release strategies and the social impacts of language models. Retrieved from arXiv preprint arXiv:1908.09203 (Last visited:2020.4.10). 12.J. Boog. (2019). How the Creator of AI Dungeon 2 Used GPT-2 To Create Neverending Adventure Games. Retrieved from https://towardsdatascience.com/the-creator-of-ai-dungeon-2-shares-gpt-2-finetuning-advice-e5800df407c9/ (Last visited:2020.4.21). 13.J. Garreau. (2007). Bots on The Ground. The Washington Post Sunday. Retrieved from https://www.pressreader.com/usa/the-washington-post-sunday/20070506/282192236550791/ (Last visited:2020.6.5). 14.M.-W. L. Dictionary. Legal Definition of legal person. Retrieved from https://www.merriam-webster.com/legal/legal%20person/ (Last visited:2020.6.4). 15.Open letter to the european commission artificial intelligence and robotics. Retrieved from http://www.robotics-openletter.eu/ (Last visited:2020.2.27). 16.S. Kreps and R. M. McCain. (2019). How AI Is Making Fake News Look Real. Foreign Affairs. Retrieved from https://www.foreignaffairs.com/articles/2019-08-02/not-your-fathers-bots/ (Last visited:2020.6.8). 17.S. Studios. (2019). How we built the Waifu Vending Machine. Retrieved from https://waifulabs.com/blog/ax/ (Last visited:2020.6.4). 18.S. Studios. Waifu Labs. Retrieved from https://waifulabs.com/ (Last visited:2020.6.8). 19.T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry and A. Askell. (2020). Language models are few-shot learners. Retrieved from arXiv preprint arXiv:2005.14165 (Last visited:2020.8.27). 20.Te Awa Tupua (Whanganui River Claims Settlement) Act (2017). Retrieved from http://www.legislation.govt.nz/act/public/2017/0007/latest/whole.html (Last visited:2020.6.8). |
Description: | 碩士 國立政治大學 法律學系 107651063 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0107651063 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202001717 |
Appears in Collections: | [法律學系] 學位論文
|
Files in This Item:
File |
Description |
Size | Format | |
106301.pdf | | 4331Kb | Adobe PDF2 | 1078 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|