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研究生: 林楦純
Lin, Hsuan-Chun
論文名稱: 企業應用人工智慧之監理規範研究——兼論企業合規責任與董事義務
Regulatory Frameworks for Corporate Use of AI: With a Focus on Corporate Compliance Responsibilities and Directors’ Duties
指導教授: 鄭菀瓊
口試委員: 莊弘鈺
何之行
學位類別: 碩士
Master
系所名稱: 商學院 - 科技管理與智慧財產研究所
Graduate Institute of Technology, Innovation and Intellectual Property Management
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 150
中文關鍵詞: 人工智慧公司治理企業法令遵循受任人義務企業經營階層責任
外文關鍵詞: Artificial Intelligence (AI), Corporate Governance, Corporate Compliance, Fiduciary Duties, Management Liability
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  • 在人工智慧普及的當代,其於公司治理領域之應用亦逐步深化。隨著人工智慧逐步滲透企業決策場域,其關鍵性日益提升;然而,在帶來破解團體迷思、避免利害衝突等多項優勢之際,其應用亦引發決策不透明、具歧視性偏見等隱憂。
    為了因應人工智慧所帶來的挑戰,各國近年來積極推出法規或指引以對此進行規範、控管風險。本論文透過研究歐盟、美國、香港等地針對人工智慧的法規,發現目前僅有歐盟推出「人工智慧法」的硬性規範,美國、香港目前尚無建構專門之人工智慧法律。在此情況下,於歐盟執行業務企業提供或使用高風險人工智慧系統時,尤應注意資料保存、風險評估等合規義務,以落實法令遵循。在公司內部治理層面,企業亦宜儘速在董事會層級會議上納入人工智慧議題之討論、指派專業專責人員管理人工智慧之應用事宜。
    與此同時,考量傳統公司治理體系中董事及經營階層之角色係由自然人或法人擔任,人工智慧之介入是否動搖既有架構,誠屬值得關注之議題。本論文亦從美國、英國等地的公司治理規範,以及美國公司治理領域的經典判決Smith v. Van Gorkom案及Marchand v. Barnhill案出發,探討人工智慧在進入公司治理領域後是否會對經營者之身份和義務造成影響。研究發現,儘管現行法下人工智慧尚難取得董事地位;然隨著其對決策過程之實質影響已不可忽視,董事自應加強自身對於人工智慧技術的專業知識,並透過創建專責委員會、指定部門主管等公司治理安排,以確保其受任人義務之履行。
    最後,本文回歸我國法制,檢視現行人工智慧相關規範後發現,我國「人工智慧基本法」尚有諸多細節有待進一步釐清。在相關配套措施尚未完備之前,企業可參考如「金融業運用人工智慧(AI)指引」等規範,預先建構內部法令遵循措施與治理架構,以因應未來更趨細緻化之監管要求。


    In the contemporary era of widespread artificial intelligence (AI), its application in the field of corporate governance has also gradually deepened. As AI increasingly permeates corporate decision-making processes, its importance continues to grow. However, while it brings numerous advantages—such as mitigating groupthink and avoiding conflicts of interest— its application also raises concerns, including the opacity of decision-making and the presence of discriminatory biases.
    To address the challenges posed by AI, countries in recent years have actively introduced laws and regulations to govern its use and manage associated risks. This thesis examines the regulatory frameworks on AI in the European Union, the United States, and Hong Kong, and and finds that, at present, only the European Union has enacted a binding “AI Act,” while the United States and Hong Kong have not yet established dedicated AI legislation. Under such circumstances, enterprises operating within the EU, when providing or using high-risk AI systems, should pay particular attention to compliance obligations such as data retention and risk assessment in order to ensure legal compliance. At the level of internal corporate governance, enterprises should also, as soon as possible, incorporate AI-related issues into board-level discussions and designate specialized personnel responsible for managing AI applications.
    At the same time, considering that in traditional corporate governance systems the roles of directors and management are assumed by natural or legal persons, whether the introduction of AI raises may unsettle the existing structure is a matter worthy of attention. Accordingly, this thesis also draws on corporate governance regulations in the United States and the United Kingdom, as well as leading U.S. cases such as Smith v. Van Gorkom and Marchand v. Barnhill, to explore whether the integration of AI into corporate governance affects the identity and duties of corporate managers. The study finds that, although under current law AI is unlikely to attain the status of a director, its substantive influence on decision-making can no longer be ignored. Directors should therefore strengthen their professional knowledge of AI technologies and, through corporate governance arrangements—such as establishing dedicated committees or appointing responsible departmental heads—ensure the proper fulfillment of their fiduciary duties.
    Finally, this thesis turns to Taiwan’s legal framework. Upon reviewing the current AI-related regulations, it finds that Taiwan’s “Artificial Intelligence Basic Act” still contains many aspects that require further clarification. Before supporting measures are fully developed, enterprises may refer to existing guidelines—such as the “Guidelines for the Use of Artificial Intelligence (AI) in the Financial Industry”—to proactively establish internal compliance measures and governance structures, so as to respond to increasingly sophisticated regulatory requirements in the future.

    第一章 緒論 1
    第一節 研究動機與目的 1
    第二節 研究範圍與方法 2
    第三節 論文架構 3
    第二章 人工智慧之發展及其於企業中之運用 5
    第一節 人工智慧技術之發展及類型 5
    第一項 人工智慧技術之定義及發展歷史 5
    第二項 人工智慧之類型 8
    第二節 人工智慧於企業中所扮演之角色 10
    第一項 企業採用人工智慧的趨勢 10
    第二項 人工智慧於公司治理中所扮演之角色 16
    第一款 輔助決策者 16
    第二款 決策制定者 17
    第三節 企業引入人工智慧之益處及風險 18
    第一項 企業引入人工智慧之益處 18
    第一款 便於處理大量資訊 18
    第二款 破解團體迷思 19
    第三款 避免利害衝突 21
    第二項 企業引入人工智慧之風險 22
    第一款 決策透明性及可解釋性 22
    第二款 人工智慧的可歸責性成隱憂 27
    第三款 資料隱私及安全 27
    第四款 嵌入式偏差及歧視性偏見 29
    第四節 小結 33
    第三章 國際間人工智慧監理規範對於企業法令遵循之影響 35
    第一節 歐盟:以人工智慧法為核心課予市場參與者義務 35
    第一項 法規規範 35
    第二項 對於企業法令遵循及經營階層責任的影響 47
    第二節 美國:由可信任人工智慧概念轉向鼓勵創新 54
    第一項 法規規範 54
    第二項 對於企業法令遵循及經營階層責任的影響 60
    第三節 香港:仍以軟法為主進行指引式監管 62
    第一項 法規規範 62
    第二項 對於企業法令遵循及經營階層責任的影響 66
    第四節 綜合比較 67
    第五節 小結 68
    第四章 人工智慧進入公司治理領域後經營者身份及義務內涵之轉變 71
    第一節 國際公司治理之發展進程 71
    第二節 人工智慧作為企業決策制定者之適格性 76
    第一項 美國:人工智慧尚難成為董事 惟重要性提升 77
    第二項 英國:人工智慧尚無法成為董事 惟應納入董事會議程討論 79
    第三項 香港:人工智慧無法成為董事 人工智慧董事僅具宣示意味 80
    第三節 人工智慧參與決策下經營者義務內涵之轉變 81
    第一項 傳統公司法下之公司治理規範 81
    第二項 個案分析:從傳統公司法經典案例看人工智慧應用於公司治理時之經營階層受任人義務之改變 87
    第一款 Smith v. Van Gorkom案:董事基於充分資訊進行決策之義務 88
    第二款 Marchand v. Barnhill案:董事設立監督系統之義務 95
    第四節 從公司治理至人工智慧治理 101
    第五節 小結 103
    第五章 我國就人工智慧應用於公司治理領域未來之監管方向 106
    第一節 我國公司治理之發展與人工智慧時代之因應 106
    第二節 我國人工智慧法規之發展 112
    第一項 我國因應人工智慧之發展衍生出之專法規範 112
    第二項 我國針對人工智慧之發展推出之個別領域或行業指引 117
    第三節 我國人工智慧法於人工智慧治理之不足與修正建議 120
    第四節 小結 123
    第六章 結論與建議 125
    參考文獻 127

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    臺灣證券交易所股份有限公司109/06/03臺證治理字第1090009468號公告。
     
    (五)網路資料
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    王宏仁,數發部揭露AI風險分類框架草案最新進展,採分類而非分級管理設計,涵蓋三大類18小類AI風險,iThome,2026年4月30日,https://www.ithome.com.tw/news/175467(最後瀏覽日:2026/06/09)。
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    台灣新創趨勢調查與展望報告,KPMG,2024年,https://assets.kpmg.com/content /dam/kpmg/tw/pdf/2024/02/kpmg-taiwan-startups-trends-outlook.pdf.
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    周駿呈,AI Agent如何重塑顧問服務:顧問服務平台化的三大技術發展趨勢,經濟部產業技術司,2026年5月6日,https://www.moea.gov.tw/MNS/doit/indus trytech/IndustryTech.aspx?menu_id=13545&it_id=642(最後瀏覽日:2026/06/09)。
    林欣漢,憂台灣成AI「科技貧戶」 藍委推「人工智慧基本法」,自由時報,2024年3月19日,https://video.ltn.com.tw/article/upVYoXqhuPg/PLI7xntdRxhw3f 4pUhXV0L2ve5j1Ztthf_(最後瀏覽日:2026/02/09)。
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    二、英文文獻
    (一)書籍
    Financial Aspects of Corporate Governance (1992), The Committee on the Financial Aspects of Corporate Governance and Gee and Co. Ltd.
    Kreutzer, Ralf T. & Marie Sirrenberg (2020), Understanding Artificial Intelligence Fundamentals, Use Cases and Methods for a Corporate AI Journey.
    Sheikh, Haroon et al. (2023), Mission AI: The New System Technology.
     
    (二)專書論文
    França, Reinaldo Padilha et al. (2021), An Overview of Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age, in Trends in Deep Learning Methodologies 63.
    MÖSLEIN, F. (2018), Robots in the Boardroom: Artificial Intelligence and Corporate Law, in Research Handbook on the Law of Artificial Intelligence 649 (W. Barfield & U. Pagallo eds.).
    Tokmakov, M.A. (2019), Corporate Governance Modernization: Legal Trends and Challenges, 71 Eurasia: Sustainable Development, Security, Cooperation 1.
     
    (三)期刊論文
    Altıntaş, N. Nalân (2010), Evolution of Corporate Governance in the United States of America, 2 Sosyal Bilimler Dergisi 153.
    Balciogl, Yavuz Selim et al. (2025), A Turning Point in AI: Europe’s Human-Centric Approach to Technology Regulation, 23(100128) Journal of Responsible Technology 1.
    Bathaee, Yavar (2018), The Artificial Intelligence Black Box and the Failure of Intent and Causation, 31(2) Harvard Journal Law & Technology 889.
    Beecher-Monas, E. (2007), Marrying Diversity and Independence in the Boardroom: Just How Far Have You Come, Baby?, 86(2) Oregon Law Review 373.
    Bory, Paolo et al. (2025), Strong and Weak AI Narratives: An Analytical Framework, 40(4) AI & Society 2107.
    Bruner, Christopher M. (2022), Artificially Intelligent Boards and the Future of Delaware Corporate Law, 22(2) Journal of Corporate Law Study 783.
    Buchetti, Bruno et al. (2025), A literature Review on Corporate Governance and ESG Research: Emerging Trends and Future Directions, 97(103759) International Review on Financial Analysis 1.
    Campbell, Murray et al. (2002), Deep Blue, 134 (1-2) Artificial Intelligence 57.
    Cheffins, Brian R. (2013), The History of Corporate Governance, in The Oxford Handbook Of Corporate Governance 46 (Mike Wright et al. eds.).
    Cheffins, Brian R (2015), Corporate Governance Since the Managerial Capitalism Era, 89(4) Business History Review 717.
    Coats, Pamela K. (1988), Why Expert Systems Fail, 17(3) Financial Management 77.
    Custers, Bart et al. (2025), From Liability Gaps to Liability Overlaps: Shared Responsibilities and Fiduciary Duties in AI and Other Complex Technologies, 40 AI & Society 4035.
    Davidson, Kallie (2025), Super AI The Next Frontier in Artificial Intelligence Research, 6(1) QIT Press – International Journal of Super AI Research & Development 1.
    Davtyan, Tatevik (2025), The U.S. Approach to AI Regulation: Federal Laws, Policies, and Strategies Explained, 16(2) Journal of Law, Technology, & the Internet 223.
    Gevarter, William B. (1984), Expert Systems: Artificial Intelligence Applied, 1(3) Telematics and Informatics 239.
    Gikey, Asress Adimi et al. (2023), High-Risk Artificial Intelligence Systems under the European Union’s Artificial Intelligence Act: Systemic Flaws and Practical Challenges, SSRN 1, https://ssrn.com/abstract=4621605.
    Hickman, Eleanore & Martin Petrin (2021), Trustworthy AI and Corporate Governance: The EU’s Ethics Guidelines for Trustworthy Artificial Intelligence from a Company Law Perspective, 22 European Business Organization Law Review 593 (2021).
    Hinton, Geoffrey E. et al. (2006), A Fast Learning Algorithm for Deep Belief Nets, 18(7) Neural Computation 1527.
    Kamalnath, Akshaya (2020), The Perennial Quest For Board Independence: Artificial Intelligence To The Rescue?, 83(1) Albany Law Review 43.
    Kaya, Att. Baran Can (2022), The Role Of Artificial Intelligence In Corporate Governance, SSRN 1, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4143 846.
    Khogali, Hisham O. & Samir Mekid (2023), The Blended Future of Automation and AI: Examining Some Long-Term Societal and Ethical Impact Features, 73(102232) Technology in Society 1.
    LeCun, Yann et al. (2015), Deep Learning, 521 Nature 436.
    Lee, Joseph & Peter Underwood (2021), AI in the boardroom: Let The Law Be in The Driving Seat, International and Comparative Corporation Law Journal 1.
    Liebl, Andreas & Till Klein (2023), AI Act: Risk Classification of AI Systems from a Practical Perspective, AppliedAI Initiative 1 (2023).
    Malenko, Andrey & Nadya Malenko (2019), Proxy Advisory Firms: The Economics of Selling Information to Voters, The Journal of Finance 2441.
    Malgieri, Gianclaudio & Frank Pasquale (2024), Licensing High-Risk Artificial Intelligence: Toward ex ante Justification for a Disruptive Technology, 52(105899) Computer Law & Security Review1.
    Matera, Pierluigi (forthcoming 2026), From Red Flags to Black Boxes: Corporate Oversight in the Age of Artificial Intelligence, 100 St. John’s Law Review.
    Metzenbaum, Howard M. (1981), Legislative Approaches to Corporate Governance, 56(5) Notre Dame Law Review 926.
    Mosco, Gian Domenico (2020), AI and Board Within Italian Corporate Law: Preliminary Notes, 17(3) European Corporate Law Journal 87.
    Obermeyer, Ziad et al. (2019), Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations, 366(6464) Science 477.
    Ouabouch, Brahim & Taoufiq Yahyaoui (2025), Artificial Intelligence and Corporate Governance: A Review of Recent Literature, 4(1) International Journal Of Strategic Management and Economic Studies 52.
    Partridge, Derek (1987), The Scope and Limitations of First Generation Expert Systems, 3(1) Future Generation Computer Systems 1.
    Passador, Maria Lucia (2025), The AI Act’s Silent Impact on Corporate Roles, SSRN 1, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5189809.
    Phadke, Achyut & Brian Rivas Boessenecker (2024), Evolving Risk Oversight Obligations for Directors: Emerging Trends to Watch, 196 Board Leadership 6.
    Philipp Hacker et al. (2020), Explainable AI Under Contract and Tort Law: Legal Incentives and Technical Challenges, 76 Information Fushion 415.
    Rane, Nitin Liladhar et al. (2024), Artificial Intelligence-Driven Corporate Finance: Enhancing Efficiency and Decision-Making Through Machine Learning, Natural Language Processing, and Robotic Process Automation in Corporate Governance and Sustainability, 5(2) Studies in Economic & Business Relations 1.
    Ricci, Sergio Alberto Gramitto (2020), Artificial Agents in Corporate Boardrooms, 105(3) Cornell Law Review 869.
    Scherer, Maxi (2019), Artificial Intelligence and Legal Decision-Making: The Wide Open?, 36(5) Journal International Arbitration 539.
    Schilke, Oliver & Martin Reimann (2025), The Transparency Dilemma: How AI Disclosure Erodes Trust, 188(104405) Organizational Behavior & Human Decision Processes 1.
    Schwartz, Daniel J. (1977), Penn Central: A Case Study of Outside Director Responsibility Under the Federal Securities Laws, 45(3) UMKC Law Reviwe 394.
    Shaban, Osama Samih & Arwa Omoush (2025), AI-Driven Financial Transparency and Corporate Governance: Enhancing Accounting Practices with Evidence from Jordant, 17(9) Sustainability 1.
    Siebecker, Michael R. (2019), Making Corporations More Humane Through Artificial Intelligence, 45(1) The Journal of Corporate Law 95.
    Silver, David et al. (2017), Mastering the Game of Go Without Human Knowledge, 550 Nature 354.
    Ustahaliloğlu, Mustafa Kenan (2025), Artificial Intelligence In Corporate Governance, 7(1) Corporate Law & Governance Review 123.
    Verma, Ria & Sourika Jana (2024), AI-Powered Governance: Shaping the Future Landscape of Corporate Governance, SSRN, https://papers.ssrn.com/sol3 /papers.cfm?abstract_id=5099460.
    Vilone, Giulia & Luca Longo (2021), Notions of Explainability and Evaluation Approaches for Explainable Artificial Intelligence, 76 Information Fushion 89.
    Yang Jingxuan (2026), How Artificial Intelligence Improves Corporate Governance: Evidence from the ERNIE Large Model, 96(109782) Financial Research Letter 1.
    Zhao, Jingchen (2022), Artificial Intelligence and Corporate Decisions: Fantasy, Reality or Destiny, 71(4) Catholic University Law Review 663.
     
    (四)研討會文章
    Boine, Claire, Fiduciary Law to Promote Value Alignment in AI Systems (September 29, 2023).
     
    (五)官方文件與機構報告
    Artificial Intelligence 2025 Legislation, National Conference of State Legislatures (July 10, 2025), https://www.ncsl.org/technology-and-communicat ion/artificial-intelligence-2025-legislation.
    Artificial Intelligence Act: Deal on Comprehensive Rules for Trustworthy AI, European Union (December 9, 2023, 00:04), https://www.europarl.europa.eu /news/en/press-room/20231206IPR15699/artificial-intelligence-act-deal-on-comprehensive-rules-for-trustworthy-ai.
    Artificial Intelligence Risk Management Framework (AI RMF 1.0), National Institute Standards & Technology (January, 2023), https://nvlpubs.nist.gov /nistpubs/ai/NIST.AI.100-1.pdf.
    Bainbridge, Stephen M. (2008), Smith V. Van Gorkom 1 (UCLA School of Law, Law-Economics Research Paper No. 08-13).
    Blueprint for an AI Bill of Rights, The White House (2022), https://www.whitehouse. gov/wp-content/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdf.
    Charter of Fundamental Rights of The European Union, Dec. 18, 2000, 2000 O.J. (C 364) 1.
    Commission Guidelines on prohibited artificial intelligence practices established by Regulation (EU) 2024/1689 (AI Act) 126-128 (July 29, 2025).
    Consolidated Version of the Treaty on European Union, Oct. 26, 2012, 2012 O.J. (C 326) 13.
    Convention for the Protection of Human Rights and Fundamental Freedoms, Nov. 4, 1950, 213 U.N.T.S. 221.
    Corporate Governance Issues, Including Executive Compensation Disclosure and Related SRO Rules, U.S. Security & Exchange Commission, https://www.sec.gov/spotlight/dodd-frank/corporategovernance.shtml (last visited: December 26, 2025).
    Council Directive 2000/43/EC of 29 June 2000 implementing the principle of equal treatment between persons irrespective of racial or ethnic origin, 2000 O.J. (L180);.
    Council Directive 2000/78/EC of 27 November 2000 establishing a general framework for equal treatment in employment and occupation, 2000 O.J. (L303).
    Council Directive 2004/113/EC of 13 December 2004 implementing the principle of equal treatment between men and women in the access to and supply of goods and services, O.J. (L373).
    Council Directive 89/391/EEC of 12 June 1989 on the introduction of measures to encourage improvements in the safety and health of workers at work, 1989 O.J. (L183).
    Deloitte (2024), 2024 M&A Trends Survey.
    Directive (EU) 2024/2853 of the European Parliament and of the Council of 23 October 2024 on liability for defective products and repealing Council Directive 85/374/EEC, 2024 O.J. (L2024/2853).
    Ensuring A National Policy Framework For Artificial Intelligence, The White House (December 11, 2025), https://www.whitehouse.gov/presidential-actions/2025/12 /eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/.
    Ensuring Safe, Secure, and Trustworthy AI, National Archive (2023), https://bidenwh itehouse.archives.gov/wp-content/uploads/2023/07/Ensuring-Safe-Secure-and-Trustworthy-AI.pdf.
    Executive Order No. 14110, 90 Federal Register 75191 (October 30, 2023).
    Executive Order No. 14179, 90(20) Federal Register 8471 (January 31, 2025).
    FACT SHEET: Biden-⁠Harris Administration Secures Voluntary Commitments from Leading Artificial Intelligence Companies to Manage the Risks Posed by AI, The American Presidency Project (July 21, 2023), https://www.presidency.ucsb.ed u/documents/fact-sheet-biden-harris-administration-secures-voluntary-commitme nts-from-leading.
    FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence, The American Presidency Project (2023), https://www.presidency.ucsb.edu/documents/fact-sheet-president-biden-issues-executive-order-safe-secure-and-trustworthy-artificial.
    Guidance for Regulation of Artificial Intelligence Applications, Office Of Management And Budget 1 (2020), https://www.whitehouse.gov/wp-content/u ploads/2020/11/M-21-06.pdf.
    Hertig, Gérard (2022), Use of AI by Financial Players: The Emerging Evidence 15-16 (European Corporate Governance Institute, Law Working Paper No. 623).
    High-Level Expert Group on Artificial Intelligence, Ethics Guidelines for Trustworthy Artificial Intelligence (April 8, 2019).
    High-Level Summary of the AI Act, EU Artificial Intelligence Act (February 27, 2024), https://artificialintelligenceact.eu/high-level-summary/.
    Kratsios, Michael J. et al., Winning The Race America’s AI Action Plan, The White House 1 (July, 2025), https://www.whitehouse.gov/wp-content/uploads/2025/07/ Americas-AI-Action-Plan.pdf.
    Langenbucher, Katja (2024), Ownership and Trust a Corporate Law Framework for Board Decision-Making in the Age of AI (ECGI Working Paper Series in Law, Working Paper No. 758/2024), https://www.ecgi.global/sites/default/files/work ing_papers/documents/ownershipandtrust.pdf.
    Mertens, Floris (2023), The Use Of Artificial Intelligence In Corporate Decision-Making at Board Level: A Preliminary Legal Analysis (Financial Law Institution, Working Paper Series 2023-01).
    Organisation for Economic Co-operation and Development (2023), G20/OECD Principles of Corporate Governance 2023.
    President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence, The White House (2023), https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence/.
    Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation), COM (2016) 59 final (May 4, 2016).
    Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC, 2016. O.J. (L119).
    Regulation (EU) 2017/745 of the European Parliament and of the Council of 5 April 2017 on medical devices, amending Directive 2001/83/EC, Regulation (EC) No 178/2002 and Regulation (EC) No 1223/2009 and repealing Council Directives 90/385/EEC and 93/42/EEC, 2017 O.J. (L117).
    Regulation (EU) 2018/1807 of the European Parliament and of the Council of 14 November 2018 on a framework for the free flow of non-personal data in the European Union, 2018 O.J. (L303).
    Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act), 2024 O.J. (L 12.7) (EU).
    Report on Apple Card Investigation, New York State Department of Financial Service (March 2021), https://www.dfs.ny.gov/system/files/documents/2021/0 3/rpt_202103_apple_card_investigation.pdf.
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    (六)判決
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