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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳從周博士 | zh_TW |
dc.contributor.advisor | Chung-Jau Wu | en |
dc.contributor.author | 沈琬 | zh_TW |
dc.contributor.author | WAN SHEN | en |
dc.date.accessioned | 2023-12-12T16:18:49Z | - |
dc.date.available | 2024-04-25 | - |
dc.date.copyright | 2023-12-12 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-10-06 | - |
dc.identifier.citation | 【中文文獻】
一、中文書籍(依作者姓氏筆畫順序排列) 1.王紀軒(2020)。〈人工智慧與司法實務的應用〉,收於張麗卿(編),《人工智慧相關法律議題芻議》,頁112-143。台北:元照。 2.林思惟(2017)。〈歐盟新規:個人資料保護規則—數位防護的新縱深〉,收於財團法 人金融聯合徵信中心(編),《歐盟個人資料保護規則》,頁15-25。台北:財團法人金融聯合徵信中心。 3.谷湘儀、賴冠妤(2017)。〈從美國經驗看機器人投顧之發展與規範方向〉,收於協 和國際法律事務所(編),《金融科技發展與法律》,頁227-254。台北:五南。 4.李榮耕(2021)。〈初探刑事程序法的人工智慧應用〉,收於劉靜怡(編),《人工 智慧相關法律議題芻議》,頁117-148。台北:元照。 5.吳從周(2018)。〈初探AI的民事責任〉,收於劉靜怡(編),《人工智慧相關法律 議題芻議》,頁87-116。台北:元照。 6.邱文聰(2018)。〈初探人工智慧中的個資保護發展趨勢與潛在的反歧視難題〉,收 於劉靜怡(編),《人工智慧相關法律議題芻議》,頁153-175。台北:元照。 7.蔡柏毅(2017),〈歐盟「個人資料保護規則」導讀〉,收於財團法人金融聯合徵信 中心(編),《歐盟個人資料保護規則》,頁1-14。台北:財團法人金融聯合徵信中 心。 8.劉靜怡(2018)。〈人工智慧潛在倫理與法律議題鳥瞰與初步分析—從責任分配到市場 競爭〉,收於劉靜怡(編),《人工智慧相關法律議題芻議》,頁1-45。台北:元 照。 二、期刊文獻 1.甘偵蓉、許漢(2020),<AI 倫理的兩面性初探——人類研發AI 倫理與AI 倫理>, 《歐美研究》50(2),頁231-292 2.李世德(2018)。〈GDPR與我國個人資料保護法之比較分析〉,《臺灣經濟論衡》, 第16卷第3期,頁69-93。 3.林勤富、劉漢威(2018)。〈人工智慧法律議題初探〉,《月旦法學雜誌》,第274 期,頁195-215。 4.周亞菁(2018)〈人工智慧時代下的司法變革—淺談司法官培訓財於未來20年面臨之趨 勢〉,《司法新聲》126,頁53-70。 5.徐彪豪(2016)。〈物聯網時代的資料保護防線-以歐盟GDPR為中心〉,《科技法律 透析》,第28卷第10期,2頁56-71。 6.葉志良(2018)。〈因應物聯網發展資料保護法制的革新—歐盟法制的發展與啟示〉, 《中原財經法學》,第40期,頁61-124。 7.理律法律事務所(2018)。〈人工智慧之相關法規國際發展趨勢與因應〉《國家發展 委員會委託研究計劃結案報告》,載於: https://www.ndc.gov.tw/News_Content.aspx? n=B7C121049B631A78&sms=FB990C08B596EA8A&s=3F2FA3A380C32AB1&upn=0E442370ED3F73C5。(最後瀏覽日:06/25/2023) 8.陳家駿(2019)〈從人工智慧淺談AI機器人相關法律議題—掃地機器人/理 財機器人 專利智財、金融監管與賠償責任〉,《教育法學評論》3,頁159-177。 9.陳弘儒(2020)〈初探目的解釋在法律人工智慧系統之運用可能〉,《歐美研究》50 (2),頁293-347。 10.張妮,徐靜村(2019)〈計算法學:法律與人工智能的交叉研究〉,《現代法學》41 (6),頁78-91。 11.劉湘瑤、張震興、張瓅勻、趙恩、李思賢(2021)。〈人工智能倫理的挑戰與 反思〉,《資訊社會研究》41,頁27-64。 12.魏斌(2022)〈法律論證智能研究的非形式邏輯轉向〉,《歐美研究》50(2),頁 293-347。 三、學術論文 1.何至皓(2021)。〈人工智能產品民事侵權責任歸屬之研究〉,國立中正大學法律學 系碩士論文。 2.翁呈瑋(2020)。〈人工智慧法律主體之論爭—以人工智慧創作為例〉,國立政治大學 法律學系碩士論文。 四、(網路文獻)(依作者發表年份排序) 1.Scopus(2004)《審查文獻摘要和引用資料庫》https://www.scopus.com(最後瀏 覽日:06/24/2023) 2.嚴士淨(2016)。《科學月刊》載於: https://www.bnext.com.tw/article/55680/alphago-lee-se-dol-retire(最後瀏日:06/23/2023) 3.DARPA 《Xplainable Artificial Intelligence (XAI) (Archived)》載於: https://www.darpa.mil/program/explainable-artificial-intelligence(最後瀏覽日:06/24/2023) 4.自由時報(2016)《人工智慧好厲害!美國律師事務所聘用AI律 https://news.ltn.com.tw/news/world/breakingnews/1695739(最後瀏覽日:06/24/2023) 5.人工智慧律師Ross(2016) 是採用美國IBM公司旗下的沃森(Watson)人工智能程序, Ross因為有相當強的語言能力,可以回答律師對於特定案件與法律相關問題的疑問。 www.rossintelligence.com (最後瀏覽日:06/23/2023) 6.PAUL VOOSEN(2017)《How AI detectives are cracking open the black box of deep learning》載於:https://www.science.org/content/article/how-ai-detectives-are- cracking-open-black-box-deep-learning(最後瀏覽日:06/24/2023) 7.高敬原(2017)數位時代《最美AI機器人獲公民權,意外掀起沙國女性地位論戰 https://www.bnext.com.tw/article/46736/saudi-arabia-robot-citizen- sophia (最後瀏覽日:06/24/2023) 8.中央研究院 載於:https://research.sinica.edu.tw/ai-judge-justice- chien-liang-lee/ (最後瀏覽日:06/23/2023) 9.法制日報——法制網 (2017)《重慶打造類案智審平台建設“智慧法院”》,載於 http://gngj.gog.cn/system/2017/08/31/016054669.shtml(最後瀏覽日: 06/24/2023) 10.法務部 (2018)。《歐盟資料保護一般規則(General Data Protection Regulation, GDPR)與我國個人資料保護法之重點比較分析》,載於: https://ws.ndc.gov.tw/Download.ashx? u=LzAwMS9hZG1pbmlzdHJhdG9yLzEwL3JlbGZpbGUvMC8xMTY5NC82N2Q4YmI1YS1kY zJlLTRhNzktYmFkYi1jMWQxNGRlZDc4YzEucGRm&n=5q2Q55ufR0RQUuiIh%2baIkeWci%2bWAi%2bS6uuizh%2baWmeS%2fneitt%2bazleS5i%2bmHjem7nuavlOi8g%2bWIhuaekC5wZGY%3d&icon=.pdf (最後瀏覽日:06/24/2023) 11.和簽(2018)《網絡仲裁成互金案件理審趨勢,電子合同為何是關鍵一環?》載於: https://www.91heqian.com/article/wang-luo-zhong-cai-cheng-hu-jin-an-jian-shen-li-qu-shi-dian-zi-he-tong-wei-he-shi-guan-jian-yi-huan (最後瀏覽日:06/24/2023) 12.12368熱線平台(2018)《中國審判流程信息公開網》,載於: https://splcgk.court.gov.cn/gzfwww/sszn/details?id=ff80808162f1a544016342a6a55c0593 (最後瀏覽日:06/25/2023) 13.數位時代(2019)《輸給AlphaGo的韓國棋王宣布退役,李世乭:「拿下第一名,我 也不是冠軍。」》,載於https://www.bnext.com.tw/article/55680/alphago-lee-se-dol-retire (最後瀏覽日:06/23/2023) 14.熊剪梅 劉志華 段星宇(2019)《為什麼全球第一家互聯網法院誕生在中國?》載於:http://politics.people.com.cn/BIG5/n1/2019/1101/c429373- 1433352.html (最後瀏覽日:06/25/2023) 15.Vincent Chen-WS(2019)。《人工智慧的機遇與挑戰 — 英國國會報告結論與建議 摘要》,載於:https://medium.com/twigf (最後瀏覽日 07/25/2023) 16.林婷嫻(2019)。《斷開中文的鎖鍊!自然語言處理 (NLP)》,載於:https://research.sinica.edu.tw/nlp-natural-language-processing-chinese-knowledge-information/ (最後瀏覽日:06/23/2023) 17.楊國文/自由時報 (2019) 《他山之石愛沙尼亞研發AI法官 以色列AI律師完勝人 類》載於:https://news.ltn.com.tw/news/society/paper/1308617 (最後瀏覽日:06/25/2023) 18.王紀軒(2019)《人工智慧法律思辨:台灣人工智慧的司法應用(上篇)》載於: https://www.intlailaw.org/article_d.php?lang=tw&tb=4&id=840 (最後瀏覽日:06/25/2023) 19.王紀軒(2019)《人工智慧法律思辨:台灣人工智慧的司法應用(下篇)》載於: https://www.intlailaw.org/article_d.php?lang=tw&tb=4&id=828 (最後瀏 覽日:06/25/2023) 20.江彥成、黃思齊編譯(2020)《AI的參與式設計正義》 載於: https://highscope.ch.ntu.edu.tw/wordpress/?p=84163 (最後瀏覽日: 06/24/2023) 21.劉芝吟採訪編輯(2020)《AI 當法官,會是正義女神的化身嗎?專訪李建良》 轉載於:https://pansci.asia/archives/191633# (最後瀏覽日:06/24/2023) 22.智財及商業法院 (2020)https://ipc.judicial.gov.tw/tw/cp-184-354303- a3b66-091.html (最後瀏覽日:08/02/2023) 23.Lively Impact《三大AI 類型》(2021)。載於: https://www.livelyimpact.com/blog/ai(最後瀏覽日:06/24/2023) 24.人民法院報(2021)《浙江法院推出“鳳凰金融智審”3.0》載於:https://www.court.gov.cn/zixun-xiangqing-321211.html (最後瀏覽日: 06/25/2023) 25.人文·島嶼(2021)《法律人眼中的人工智慧治理──臺大劉靜怡:「在AI時代 公民是 什麼樣的概念?」》載於:https://humanityisland.nccu.edu.tw/ching-yi- liu/#:~:text=%E5%8A%89%E9%9D%9C%E6%80%A1%E8%AA%8D%E7%82%BA%EF%BC%8C%E4%BA%BA%E5%B7%A5%E6%99%BA%E6%85%A7%E5%BE%88,%E6%A6%82%E5%BF%B5%E5%8F%AF%E8%83%BD%E8%AE%8A%E6%88%90program%20citizen%E3%80%82(最後瀏覽日:06/24/2023) 26.人民法院報(2021)《浙江法院推出“鳳凰金融智審”3.0》載於: https://www.court.gov.cn/zixun-xiangqing-321211.html (最後瀏覽日: 06/25/2023) 27.Daniel Kiat Boon Seng,Le Xu(2021)《人工智能和法律的機遇和挑戰》 Opportunities and Challenges for Artificial Intelligence and the Law:SSRN,載於https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm? per_id=462402 (最後瀏覽日:07/16/2023) 28.聊天生成預訓練轉換器(Chat Generative Pre-trained Transformer)(2022) ,載於:https://openai.com/blog/chatgpt(最後瀏覽日:06/23/2023) 29.人工智慧程式,可根據文字生成圖像(2022)《AI繪圖工具Midjourney》,載於: https://www.midjourney.com/home/?callbackUrl=%2Fapp%2F (最後瀏覽日:06/23/2023) 30.IBM《什麼是强 AI?》載於: https://www.ibm.com/cn-zh/topics/strong-ai (最後瀏覽日:06/24/2023) 31.NVIDIA(2022),《自然語言處理的第一步:演算法如何理解文字》 https://blogs.nvidia.com.tw/2022/02/13/natural-language-processing- first-steps-how-algorithms-understand-text/ (最後瀏覽日: 06/24/2023) 32.曾郡秋(2023)《防範濫用、確保技術領先全球! 美國提2項AI人工智能法案》 載 於:https://newtalk.tw/news/view/2023-06-09/874946 (最後瀏覽日: 06/24/2023) 33.李復甸/中國時報(2023)《AI審判的時機來臨了》 https://www.chinatimes.com/newspapers/20230331000467-260109?chdtv (最後瀏覽日:06/25/2023) 34.小包公法律(2023)《智能量刑预测》AI 載於:https://www.xiaobaogong.com/forecast.html (最後瀏覽日:06/25/2023) 35.Alena Zhabina (2023)《人工智能給中國司法體系帶來何種改變?》載於:https://tw.stock.yahoo.com/news/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%D%E7%B5%A6%E4%B8%AD%E5%9C%8B%E5%8F%B8%E6%B3%95%E9%AB%94%E7%B3%BB%E5%B8%B6%E4%BE%86%E4%BD%95%E7%A8%AE%E6%94%B9%E8%AE%8A-092800518.html (最後瀏覽日:06/25/2023) 36.《量刑趨勢建議系統》,載於: http://sen.judicial.gov.tw/pub_platform/sugg/index.html (最後瀏覽 日:06/25/2023) 37.《司法院》, 載於:https://www.judicial.gov.tw/tw/np-117-1.html (最後瀏覽日:06/25/2023) 38.《自助法律平台》載於:https://law4tw.com (最後瀏覽日:06/25/2023) 39.《評律網》載於:https://www.pingluweb.com.tw (最後瀏覽日:06/25/2023) 40.《法院辦理遠距視訊開庭參考手冊」4.0版》載於: https://tnnbar.org.tw/2021/08/2-6/ (最後瀏覽日:06/25/2023) 41.《臺北市各行政區最新月份人口數及戶數》載於: https://ca.gov.taipei/News_Content.aspx?n=8693DC9620A1AABF&sms=D19E9582624D83CB&s=EE7D5719108F4026 (最後瀏覽 日:07/16/2023) 42.司法院新聞稿(2020),司法院網站《大多數民意的選擇:國民法官最新民調》載於 https://social.judicial.gov.tw/CJlandingpage/#section2 (最後瀏覽 日:07/16/2023) 43.《人工智慧法律國際研究基金會》載於:https://www.intlailaw.org/ (最後瀏 覽日:07/22/2023) 44.《國民法官法》載於:https://social.judicial.gov.tw/CJlandingpage/#section2 (最後瀏覽 日:07/23/2023) 45.研之有物,(2020),科技新報《AI 當法官,會是正義女神的化身嗎?專訪中研院法學 所研究員李建良》,載於:https://technews.tw/2020/10/04/ai-judge- justice-chien-liang-lee/(最後瀏覽日:07/23/2023) 46.司法院新聞稿(2020),司法院網站《國民參與刑事審判:國民法官制》載於: https://www.judicial.gov.tw/tw/cp-1887-213158-6a0cd-1.html (最後瀏 覽日08/01/2023) 47.司法院網站國民法官制度文選 https://www.judicial.gov.tw/tw/cp-2035- 293112-7bae4-1.html (最後瀏覽日08/01/2023) 48.聯合新聞網 https://udn.com/news/story/7321/7388547 (最後瀏覽日 08/23/2023) 49.聯合新聞網(2023)《微軟總裁:AI可能變武器,需要由人類控制》載於: https://udn.com/news/story/6811/7402442 (最後瀏覽日08/31/2023) 50.簡育琦 謝賢熺(2023)TVBS新聞網《法官新助手! 酒駕、詐欺案「AI輔助」寫判 決》 載於:https://tw.news.yahoo.com/%E6%B3%95%E5%AE%98%E6%96%B0%E5%8A%A9%E6%89%8B-%E9%85%92%E9%A7%95-%E8%A9%90%E6%AC%BA%E6%A1%88- ai%E8%BC%94%E5%8A%A9-%E5%AF%AB%E5%88%A4%E6%B1%BA-053435602.html (最 後瀏覽日:08/27/2023) 51.聯合新聞網(2023)《微軟總裁:AI可能變武器,需要由人類控制》載於: https://udn.com/news/story/6811/7402442 (最後瀏覽日08/31/2023) 【外文文獻】(依作者姓氏英文字母順序排列) 一、外文書籍 1.Julian Webb, ‘Legal Technology: The Great Disruption?’ in Richard L Abel and others (eds), Lawyers in 21st Century Societies (vol II, Hart Publishing 2021). 2.Wimmer, R. D.,Dominick, J. R.(1995) Mass Communication Research Methods(Wadsworth Cengage Learning) 3.Working Across Boundaries: Collaboration in Public Services By Helen Sullivan and Chris Skelcher. Palgrave Macmillan, Basingstoke (2002) 4.Wolfgang Hoffmann-Riem, ‘Legal Technology/Computational Law’ (2021) 1 J Cross-disciplinary Res Computational L. 二、期刊文獻 1.Alexandra George (2014), Reforming Australia’s Copyright Law: An Opportunity to Address the Issues of Authorship and Originality, 37(3) University of New South Wales Law Journal (2014). 2.Antonio Pereira Gaio Junior ,Fabia Antonio Silva (2023) LAW, PROCESS AND ARTIFICIAL INTELLIGENCE. DIALOGUES NECESSARY FOR THE EXERCISE OF JURISDICTION: Revista Eletrônica de Direito Processual 3.Christopher Bavitz (2018), Morality in the Machines. Harvard Law Bulletin -Summer 2018 4.Daniel Kiat Boon Seng,Le Xu(2021)Opportunities and Challenges for Artificial Intelligence and the Law:SSRN 5.Galanek, J.D., Gierdowski, D.C., and Brooks, D.C. (2018). ECAR Study of Undergraduate Students and Information Technology. Research report. Louisville, CO: ECAR. 6.Huang, M.-H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172. 7.HM Bohler (2017). EU copyright protection of works created by artificial intelligence systems, JUS399 Master’s thesis Faculty of Law of University of Law. 8.Konstantin Chatziathanasiou (2022) Beware the Lure of Narratives: "Hungry Judges" Should Not Motivate the Use of ¨Artificial Intelligence〃 in Law:German Law Journal ,23, pp.452-464 9.Kalin, Hristov (2017). Artificial Intelligence and the Copyright Dilemma. IDEA: The IP Law Review, 57(3).P.431-454 10.Kitano, H. (2016). Artificial intelligence to win the nobel prize and beyond: Creating the engine for scientific discovery. AI magazine, 37(1), 39-50. 11.Larry Kamener(2017)Courting change: The verdict on AI and the courts:Centre For Public Impact 12.Lincoln Tsang, Katherine Wang, Kellie Combs, Sarah Blankstein, Bo (Alice) Du and Julie Kvedar(2022)A Cross-Border Regulatory and Public Policy Analysis of Machine Learning and Artificial Intelligence: The Future of AI in Life Sciences:Intellectual Property Technology Law Journal 34(10) 13.Suen, H.-Y., Kuo-En Hung and Chien-Liang Lin. (2019). “TensorFlow- Based Automatic Personality Recognition Used in Asynchronous Video Interviews.” IEEE Access, 7. 14.Stanley Greenstein (2022) Preserving the rule of law in the era of artificial intelligence : Artificial Intelligence and Law, 30,pp.291-323 15.Zichun Xu,Yang Zhao,Zhongwen Deng(2022) The possibilities and limits of AI in Chinese judicial judgment: AI & SOCIETY 三、網路文獻 1.《AI Call Annie》:https://callannie.ai/ (Last Visited Day: 06/24/2023) 2.《AI Watch - Artificial Intelligence in public services. 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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91229 | - |
dc.description.abstract | 本研究主要是探索目前臺灣司法實務上與人工智慧之間合作與協作的現況,以及2023年台灣在司法體系上首次應用國民法官制度,讓一般民眾列席庭上與職業法官共同審理案件等,將學者專家和一般民眾對司法實務的觀點做出交叉分析,試圖找出共同點與不同點之間的差異,提供司法界與學術界,甚至一般民眾及有興趣追求真理和知識實務者等參考,未來攜手為臺灣司法實務推向新的里程。
在質化研究和量化實證研究中發現,問卷中受訪的台灣民眾對於國民法官制度抱持猶豫態度,只有一部分民眾年齡介於29-48歲之間的族群是期待與認同,不認同的族群中則以18-28歲為最年輕族群,這是值得後續研究和觀察之處。其次,對於我國司法界研擬未來將會導入AI人工智慧審判,雖然目前看法是兩極化。但經由本研究分析結果後發現,小額訴訟導入AI人工智慧審判獲得臺灣民眾支持,同時也獲得司法實務專業人員的支持。因為小額訴訟的特性適合作為導入AI人工智慧審判的試點和起點。本研究經過交叉分析的結果得到驗證,AI人工智慧與司法實務之合作與協作確實不是未來式,是現在進行式。 本研究論文只是開端,相信日後應該會有更多莘莘學子和對此領域有興趣之研究者持續不斷深耕鑽研,深信未來將會有更大更多的後續研究,為臺灣司法實務做出偉大貢獻。 | zh_TW |
dc.description.abstract | This study primarily explores the current collaboration and cooperation between artificial intelligence (AI) and the judiciary in Taiwan. It also examines the first application of the lay judge system in Taiwan's judicial system in 2023, allowing ordinary citizens to participate alongside professional judges in court proceedings. Through cross-analysis of perspectives from scholars, experts, and the general public regarding judicial practices, the study aims to identify similarities and differences, providing a stepping stone for Taiwan's judiciary to progress into a new era, with the collaboration of the legal and academic communities, as well as individuals interested in seeking truth and knowledge.
Qualitative and quantitative empirical research findings indicate that the lay judge system is met with mixed expectations among the Taiwanese public, with only a portion of people expressing anticipation and acceptance, particularly among age group of 29-48 shows their expectations . The Taiwanese people interviewed in the questionnaire held a hesitant attitude towards the lay judge system. Conversely, the age group of 18-28 shows the highest level of disagreement. This aspect deserves further research and observation. Furthermore, the introduction of AI-based judging in Taiwan's judicial realm has received polarized opinions. However, analysis from this study suggests that there is public and professional support for AI-based judgment in minor claims litigation. The characteristics of minor claims litigation make them suitable as a pilot and starting point for the implementation of AI-based judging. The cross-analysis conducted in this research confirms that the collaboration and cooperation between AI and judicial practices are indeed not a future, but ongoing things. This research paper serves as a starting point, and it is believed that in the future, more dedicated researchers and students interested in this field will continue to delve deeper, leading to even greater subsequent research contributions to Taiwan's judicial practices. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-12-12T16:18:49Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-12-12T16:18:49Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 目錄
論文口試委員審定書..................................................I 致謝文............................................................II 摘要.............................................................IV Abstract.........................................................V 目錄..............................................................VII 表目錄.............................................................XI 圖目錄.......................................................... XIII 第一章 緒論.......................................................1 第一節 研究背景與動機............................................1 第二節 研究目的..................................................5 第三節 研究架構與研究假設.........................................7 第四節 研究限制..................................................9 第二章 AI人工智慧與司法實務合作與協作之現況.........................11 第一節 AI人工智慧之定義..........................................11 一、弱AI人工智慧系統 (Artificial Narrow Intelligence).............11 二、強AI人工智慧系統 (Artificial General Intelligence)............12 三、超級AI人工智慧系統(Artificial Super Intelligence).............12 四、XAI可解釋性AI人工智慧(Explainable Artificial Intelligence)...13 第二節 人類與AI人工智慧既是合作也是協作...........................17 一、合作與協作兩個名詞簡要釋義.....................................17 二、AI人工智慧在司法實務中合作與協作小結...........................18 第三節 法律科技(Legal Tech.)和法律科技化(Technology of Law)...20 第四節 他國使用AI人工智慧與司法實務上合作及協作之現況...............22 一、美加地區......................................................22 二、歐洲地區......................................................26 三、其他地區......................................................29 第五節 臺灣使用AI人工智慧與司法實務上合作及協作之現況................36 一、臺灣司法實務運用AI人工智慧在司法實務情況.........................36 二、臺灣司法院也利用透過AI人工智慧科技在司法應用上協助民眾之現況.......37 三、目前臺灣法律朝「法律科技化」的方向發展...........................38 第三章 研究方法....................................................47 第一節 深度訪談中之半結構式訪談....................................48 一、深度訪談(In-Depth Interview).................................48 二、半結構式訪談(Guided Interviews)..............................50 三、遴選受訪專家學者...............................................51 四、深度訪談採訪時間設定...........................................52 五、刊載深度訪談內容覆核文稿規範....................................52 第二節 問卷調查(Questionnaire)..................................53 一、信心水準與信心區間(抽樣誤差)..................................53 二、問卷調查具有的特點和優勢.......................................54 三、進行問卷調查時之工作...........................................55 四、本研究問卷調查樣本數之數量選取..................................56 五、問卷問題設計..................................................59 六、本研究擬定設計之問卷題目.......................................60 七、問卷調查時間..................................................61 八、所有問卷填寫者參與問卷之需求的條件..............................61 第四章 研究發現與分析..............................................63 第一節 學者專家之深度訪談分析.....................................63 一、訪談問題一到十題內容覆核文稿及結論..............................65 二、專業題內容覆核文稿及結論......................................123 第二節 問卷調查結果分析..........................................130 一、本研究問卷題目分八個類別分類...................................134 二、針對問卷中八個類別之結果分析...................................136 三、小結.........................................................152 第三節 深度訪談與問卷調查結果交叉分析.............................155 一、深度訪談與問卷調查之問題歸納...................................155 二、歸納六大類別交叉分析及結論.....................................159 三、小結.........................................................169 第四節 本研究假設之檢驗..........................................170 一、檢驗本研究提出之五個假設問題...................................170 二、本研究所提出五個假設問題檢驗結論...............................176 第五章 結論和建議.................................................177 第一節 AI人工智慧與司法實務合作和協作.............................178 一、量刑趨勢建議系統與COMPAS量刑預測.........................178 二、我國司法實務與AI人工智慧進行合作與協作....................180 第二節 國民法官制度與AI人工智慧審判...............................182 一、國民法官制度..................................................182 二、AI人工智慧審判................................................184 第三節 AI人工智慧審判與小額訴訟...................................186 一、小額訴訟......................................................186 二、AI人工智慧審判司法判決.........................................187 第四節 AI人工智慧與司法實務合作與協作之建議........................190 一、建議我國司法機構大力推動宣傳工作................................190 二、提高大眾對國民法官的期待.......................................192 三、建議小額訴訟案件交由 AI人工智慧法官來處理.......................194 四、建議量刑趨勢建議系統只適合給司法人員參考........................194 五、建議立法監管「AI人工智慧倫理」等相關事務........................195 參考文獻...........................................................201 附錄..............................................................214 附件一 3-1 深度訪談問題設計.......................................214 附件二 3-2 問卷調查題目設計.......................................216 附件三 彙整深度訪談覆核文稿範例................................. ...220 附件四 深度訪談內容覆核文稿..................................... ...221 附件五 戶籍人口數及戶數統計表.................................. ....265 附件六 問卷調查資料統計表...................................... ....266 表目錄 表3-1 受訪專家學者名單列表.........................................51 表3-2 專家學者受訪時間列表.........................................52 表3-3 台北市人口數所做出之問卷調查有效樣本數.........................57 表3-4 信心區間以3.5計算出所需要之樣本數…............................58 表3-5 信心區間以4計算出所需要之樣本數...............................59 表3-6 信心區間以4.5計算出所需要之樣本數.............................59 表4-1 問題一訪談摘錄..............................................65 表4-2 問題二訪談摘錄..............................................69 表4-3 問題三訪談摘錄..............................................73 表4-4 問題四訪談摘錄..............................................78 表4-5 問題五A訪談摘錄.............................................83 表4-6 問題五B訪談摘錄.............................................88 表4-7 問題六A訪談摘錄.............................................93 表4-8 問題六B訪談摘錄.............................................97 表4-9 問題七訪談摘錄.............................................102 表4-10 問題八訪談摘錄.............................................107 表4-11 問題九訪談摘錄.............................................112 表4-12 問題十訪談摘錄.............................................118 表4-13 專業題一訪談摘錄...........................................123 表4-14 專業題二訪談摘錄...........................................126 表4-15 年齡分佈、生理性別和網路使用頻率分佈.........................132 表4-16 問題1-5題的問卷結果分析....................................136 表4-17 問題6,8題的問卷結果分析....................................138 表4-18 問題7,9題的問卷結果分析....................................139 表4-19 問題10A,10B題的問卷結果分析................................141 表4-20 問題10A題的問卷結果分析....................................142 表4-21 問題11,12,13,15A題的問卷結果分析...........................145 表4-22 問題14,15B題的問卷結果分析.................................147 表4-23 問題16,17,18題的問卷結果分析...............................149 表4-24 問題19,20題的問卷結果分析..................................151 表4-25 交叉分析類別歸納表.........................................158 表4-26 問題8, 15B, 19題的問卷結果分析.............................175 圖目錄 圖1-1 研究架構流程圖..............................................7 圖2-1 一般AI人工智慧學習流程..................................... 15 圖2-2 可解釋的AI人工智慧學習流程...................................15 圖2-3 量刑建議系統點選犯罪形態.....................................40 圖2-4 量刑建議系統點選法條引用…....................................41 圖2-5 量刑建議系統點選犯罪態樣與加重事由............................42 圖2-6 量刑建議系統點選犯罪態度.....................................42 圖2-7 量刑建議系統點選犯罪手段.....................................43 圖2-8 量刑建議系統點選所生損害與犯罪人品行..........................44 圖3-1 信心區間以3計算出所需要之樣本數..............................56 圖3-2 以所需要之樣本數計算出信心區間為3............................57 圖4-1 參與問卷調查年齡分佈圖.....................................133 圖4-2 參與問卷調查生理性別分佈圖.................................133 圖4-3 參與問卷調查上網頻率分析圖.................................134 圖4-4 類型一(問題1-5題)之調查分析圖............................137 圖4-5 類別二(問題6,8題)之調查分析圖............................139 圖4-6 類別三(問題7,9題)之調查分析圖............................140 圖4-7 類別四(問題10A,10B題)之調查分析圖........................144 圖4-8 類別五(問題11,12,13,15A題)之調查分析圖...................146 圖4-9 類別六(問題14,15B題)之調查分析圖…........................148 圖4-10 類別七(問題16,17,18題)之調查分析圖.......................149 圖4-11 類別八(問題19,20題)之調查分析圖….........................151 | - |
dc.language.iso | zh_TW | - |
dc.title | AI人工智慧在臺灣司法實務上合作及協作之研究 | zh_TW |
dc.title | Research on Collaboration and Cooperation in Taiwan Judicial current situation between Artificial Intelligence and Judicial Practice | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 向明恩博士;邱 琦博士 | zh_TW |
dc.contributor.oralexamcommittee | Ming-En Hsiang;Chi Qiu | en |
dc.subject.keyword | 人工智慧,國民法官,司法實務,COMPAS系統,ROSS 律師,合作協作, | zh_TW |
dc.subject.keyword | Artificial Intelligence,Lay Judge,Judicial Practices,COMPAS System,ROSS Lawyer,Collaboration, | en |
dc.relation.page | 266 | - |
dc.identifier.doi | 10.6342/NTU202304286 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2023-10-06 | - |
dc.contributor.author-college | 進修推廣學院 | - |
dc.contributor.author-dept | 事業經營法務碩士在職學位學程 | - |
顯示於系所單位: | 事業經營碩士在職學位學程 |
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