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    政大機構典藏 > 法學院 > 法律學系 > 學位論文 >  Item 140.119/112702
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112702


    Title: 巨量資料與隱私權─個人資料保護機制的再思考
    Big data and privacy: Rethinking personal data protection mechanisms
    Authors: 鍾孝宇
    Chung, Hsiao Yu
    Contributors: 陳起行
    Chen, Chi Shing
    鍾孝宇
    Chung, Hsiao Yu
    Keywords: 巨量資料
    演算法
    隱私權
    個人主體性發展空間
    公民社會
    監控
    監控資本主義
    全景敞視治理
    調控治理
    個人資料保護機制
    GDPR
    Date: 2017
    Issue Date: 2017-09-13 14:56:49 (UTC+8)
    Abstract: 本文主張,隱私是公民社會的構成元素,它保障個人在社會建構的形塑之下,保有日常行為實踐的能動性,得在自我自主經驗與社會建構的來回探索之間,生成個人的主體性。這個動態的主體性發展空間,使我們得以開拓環境中的意外發現並建立心智的批判獨立性,具備如此公民特質的社會,才有能力促進自我決定、創新、人際交往互動等實踐可能性,形塑健全的公民社會。

    然而,巨量資料在數位環境中,正全面影響我們日常行為實踐的模式。巨量資料以統計相關性的知識論與方法論,形成不同的洞察與價值,其以資料驅動技術所辨識出的現象模式,建立其宣稱的客觀性優勢。巨量資料脈絡下的數位技術物,不僅是日常生活的輔助工具,而毋寧是我們個人感官的延伸,其精巧的影響我們與周遭世界的關係,積極介入、給予指示、引導行為,甚至定義我們的身分,調整、調控我們的行為。作為一種知識生產與治理模式,巨量資料的監控本質對於個人或群體所加諸的權力作用,將削弱個人主體性的發展空間,進而影響健全的公民社會發展,形成新型態的、難以察覺的隱私權侵害風險。並且,本文認為,商業監控結合監控資本主義邏輯的調控治理,對於公民社會的傷害更鉅。

    面臨如此的風險,本文指出作為資訊社會產物的現行個人資料保護機制,無法回應數位環境中巨量資料隱私威脅的三個因素:個人資料性質的改變、告知與同意機制的失敗、資料汙染。並在奠基於隱私權的社會價值理論之上,提出三種原則性建議:巨量資料的應用倫理、巨量資料利用的正當程序原則、社會責任與自律規範。在原則性建議以外,亦將視角拉回我國的個人資料保護機制,參考歐盟一般資料保護規則的相關立法,建議我國應盡速設置專責之資料保護監管機構,並提供具體的個人資料保護規範修法方向:創設涵蓋資料保護影響評估的資料管理機制、建置組織內部資料利用監督機制、以及創設使用者的資料可攜權。
    Reference: 壹、 中文參考文獻

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    二、 翻譯書
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    三、 專書論文
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    四、 期刊論文
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    五、 研討會論文
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    六、 碩博士論文
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    七、 官方資料
    「歐盟及日本個人資料保護立法最新發展之分析報告」委託研究案成果報告,法務部。

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    貳、 英文參考文獻

    一、 專書
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    T. H. Marshall, (1950) Citizenship and Social Class. London: The Cambridge University Press.
    Imrie, John, (1960) The Burgh Court Book Of Selkirk: 1503-1545. Scottish Record Society.
    Westin, Alan F., (1967) Privacy and Freedom. New York: Atheneum.
    Rule, James B., (1974) Private Lives and Public Surveillance. London: Allen lane.
    Gandy, Jr., Oscar H., (1993) The Panoptic Sort: A Political Economy Of Personal Information. Colorado: Westview Press.
    Mcluhan, Marshall, (1994) Understanding Media: The Extensions Of Man. Cambridge, Massachusetts: The MIT Press.
    Lyon, David, (1994) The Electronic Eye: The Rise Of Surveillance Society. Minneapolis: Polity Press.
    Regan, Priscilla M., (1995) Legislating Privacy: Technology, Social Values, And Public Policy. London: The University of North Carolina Press.
    Orwell, George, (2004) 1984. UK: Penguin.
    Rössler, Beate, (2005) The Value of Privacy. Cambridge, UK: Polity Press.
    Solove, Daniel J., (2009) Understanding Privacy. Cambridge, Massachusetts: Harvard University Press.
    Pariser, Eli, (2011) The Filter Bubble: What the Internet Is Hiding From You, Newyork: The Penguin Press.
    Payton, Theresa & Claypoole, Ted & Schmidt, Hon.Howard A., (2014) Privacy In The Age Of Big Data: Recognizing Threats, Defending Your Rights, And Protecting Your Family. Maryland: Rowman & Littlefield.
    Richards, Neil, (2015) Intellectual Privacy: Rethinking Civil Liberties in the Digital Age. New York: Oxford University Press.
    Ezrachi, Ariel & Stucke, Maurice E., (2016) Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy. Cambridge, Massachusetts: Harvard University Press.
    Sevignani, Sebastian, (2016) Privacy and Capitalism in the Age of Social Media. New York & London: Routledge.
    David Vincent, (2016) Privacy: A Short History. Cambridge: Polity Press.
    O’Neil, Cathy, (2016) Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy. United States: Crown.

    二、 專書論文
    Diebold, Francis X., (2003) Big Data" Dynamic Factor Models for Macroeconomic Measurement and Forecasting: A Discussion of the Papers by Lucrezia Reichlin and by Mark W. Watson. Pp. 115-122 in Advances in Economics and Econometrics, Eighth World Congress of the Econometric Society edited by Mathias Dewatripont & Lars Peter Hansen & S.Turnovsky, Cambridge: Cambridge University Press.
    Cate, Fred H., (2006) The Failure of Fair Information Practice Principles. Pp. 344-379 in Consumer Protection in the Age of the Information Economy, edited by Jane K. Winn, USA: Ashgate.
    Holvast, Jan, (2009) History of Privacy. Pp. 13-42 in The Future of Identity in the Information Society: IFIP Advances in Information and Communication Technology, edited by Vashek Matyáš & Simone Fischer-Hübner & Daniel Cvrcek & Petr Švenda, Berlin: Springer.
    Steeves, Valerie, (2009) Reclaiming the Social Value of Privacy. Pp. 191-208 in,: Lessons from the Identity Trail: Anonymity, Privacy and Identity in a Network Society, edited by Valerie Steeves & Carole Lucock & Ian Kerr, Newyork: Oxford University Press.
    Ohm, Paul, (2014) General Principles for Data Use and Analysis. Pp. 96-111 in Privacy, Big Data, and the Public Good: Frameworks for Engagement, edited by Julia Lane & Victoria Stodden & Stefan Bender & Helen Nissenbaum. New York: The Cambridge Press.
    Forcese, Craig. (2015) Law, Logarithes, and Liberties: Legal Issues Arising from CSE’s Metadata Collection Initiatives. Pp. 127-160 in Law, Privacy and Surveillance in Canada in The Post-Snowden Era, edited by Michael Geist. Canada: University of Ottawa Press.
    Cate, Fred H., (2016) Big Data, Consent, and the Future of Data Protection. Pp. 1-19 in Big Data is Not A Monolith, edited by Cassidy R. Sugimoto & Hamid R. Ekbia & Michael Mattioli. London & Cambridge, Massachusetts: The MIT Press.

    三、 期刊論文
    Warren, Samuel D. and Brandeis, Louis D., (1890) The Right to Privacy, Harvard Law Review 4: 193-220.
    Prosser, William L., (1960) Privacy, California Law Review 48: 383-423.
    Bloustein, Edward J., (1964) Privacy as an Aspect of Human Dignity: An Answer to Dean Prosser, New York University Law Review 39; 962-1007.
    Reiman, Jeffrey H., (1976) Privacy, Intimacy, and Personhood, Philosophy & Public Affairs 6: 26-44.
    Winner, Langdon, (1980) Do Artifacts Have Politics, Modern Technology: Problem or Opportunity 109: 121-136.
    Tilly, Charles, (1980) The Old New Social History and the New Old Social History, Csro Working Paper 218: 1-50.
    Parent, W. A., Privacy, (1983) Morality, and the Law, Philosophy & Public Affairs 12: 269-288.
    BeVier, Lillian R., Information about Individuals in the Hands of Government: Some Reflections on Mechanisms for Privacy Protection, (1995) William & Mary Bill of Rights Journal 4: 455-506.
    Haggerty, Kevin D. and Ericson, Richard V., (2000) The surveillant Assemblage, BRIT. J. SOC 51, 605-622.
    Cohen, Julie E., (2000) Examined Lives: Information Privacy and the Subject as Object, Stanford Law Review 52: 1373-1438.
    Solove, Daniel J., (2006) A Taxonomy of Privacy, University of Pennsylvania Law Review 154: 477-560.
    Balkin, Jack M., (2008) The Constitution in the National Surveillance State, Minnesota Law Review 93:1-25.
    Cate, Fred H. (2008) Government Data Mining: The Need for A Legal Framework, Harvard Civil Rights-Civil Liberties Law Review 43: 435-489.
    Ohm, Paul, (2010) Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization, UCLA Law Review 57: 1701-1777.
    Caluya, Gilbert, (2010) The Post-Panoptic Society? Reassessing Foucault in Surveillance Studies, Social Identities 16: 621-633.
    Schwartz, Paul M. and Solove, Daniel J. (2011) The PII Problem: Privacy and A New Concept of Personally Identifiable Information, New York University Law Review 86: 1814-1894.
    Cheney-Lippold, John, (2011) A New Algorithmic Identity: Soft Biopolitics and the Modulation of Control, THEORY, CULTURE & SOCIETY 28, 164-181.
    Boyd, danah, and Crawford, Kate (2012) Critical Questions for Big Data, Information, Communication & Society 15:5: 662-679.
    Calo, M. Ryan, (2012) Against Notice Skepticism in Privacy (and Elsewhere), Notre Dame Law Review 87: 1027-1072.
    Fan, Wei and Bifet, Albert, (2012) Mining Big Data: Current Status, and Forecast to the Future, ACM SIGKDD Explorations Newsletter 14: 1-5.
    Diebold, Francis X., (2012) On The Origin(s) and Development of the Term "Big Data", Working Paper: 1-6.
    Davenport, Thomas H., and Patil, D.J., (2012) Data Scientist: The Sexiest Job of the 21st Century, Harvard Business Review 90: 70-76.
    Krishnan, S. Shunmuga and Sitaraman, Ramesh K., (2013) Video Stream Quality Impacts Viewer Behavior: Inferring Causality Using Quasi-Experimental Designs, IEEE/ACM Transactions on Networking 21: 2001-2014.
    Cate, Fred H. and Mayer-Schönberger, Viktor, (2013) Notice and Consent in A World of Big Data, International Data Privacy Law 3: 67-73.
    Ohm, Paul, (2013) Branding Privacy, Minnesota Law Review 97:907-989.
    Tene, Omer and Polonetsky, Jules, (2013) Big Data For All: Privacy and User Control in the Age of Analytics, Northwestern. Jouranl Technology and Intellectual Property 11: 239-273.
    Rubinstein, (2013) Ira S., Big Data: The End of Privacy Or A New Beginning?, International Data Privacy Law 3 : 74-87.
    Solove, Daniel J., (2013) Privacy Self-Management and the Consent Dilemma, Harvard Law Review 126: 1880-1903.
    Waller, Matthew A. and Fawcett, Stanley E., (2013) Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management, Journal of Business Logistics 34: 77-84.
    Cohen, Julie E., (2013) What Privacy Is For, Harvard Law Review 126: 1904, 1933 .
    Richards, Neil M., and King, Jonathan H., (2013) Three Paradoxes of Big Data, Stanford Law Review Online 66: 41-46.
    Lerman, Jonas, (2013) Big Data and Its Exclusions, Stanford Law Review Online 66: 55-63.
    kerr, Ian, and Earle, Jessica, (2013) Prediction, Preemption, Presumption: How Big Data Threatens Big Picture Privacy, Stanford Law Review Online 66: 65, 71.
    Richards, Neil M., (2013) The Dangers of Surveillance, Harvard Law Review 126: 1934-1965.
    Richards, Neil M., The Perils of Social Reading, The Georgetown Law Journal 101: 689-724.
    Barnes, Trevor J, Big Data, Little History, Dialogues in Human Geography 3: 297-302.
    Lazer, David and Kennedy, Ryan and King, Gary & Vespignani, Alessandro, (2014) The Parable of Google Flu: Traps in Big Data Analysis, Science 343: 1203-1205.
    Richards, Neil and King, Jonathan H., (2014) Big Data Ethics, Wake Forest Law Review 49, 393-432.
    Kitchin, Rob, (2014) The Real-Time City? Big Data and Smart Urbanism, Geojournal 79: 1-14.
    Crawford, Kate, and Schultz, Jason, (2014) Big Data and Due Process: Toward A Framework to Redress Predictive Privacy Harms, Boston College Law Review 55: 93-128.
    Citron, Danielle Keats, and Pasquale, Frank, (2014) The Scored Society: Due Process for Automated Predictions, Washington Law Review 89: 1-33.
    Steeves, Valerie, and Regan, Priscilla, (2014) Young People Online and Social Value of Privacy, Journal of Information, Communication and Ethics in Society 12: 298-313.
    Poulin, Chris, (2014) Big Data Custodianship in a Global Society, Sais Review of International Affairs 34: 109-1136.
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    Reidenberg, Joel R. and Russell, N. Cameron and Callen, Alexander J., and Qasir, Sophia and Norton, Thomas B., (2015) Privacy Harms and the Effectiveness of the Notice and Choice Framework, A Journal of Law and Policy for the Information Society 11: 485-524.
    Zuboff, Shoshana, Big Other: (2015) Surveillance Capitalism and the Prospects of an Information Civilization, Journal of Information Technology 30:75-89.
    Mauro, Andrea De and Marco Greco and Grimaldi, Michele, (2015) What Is Big Data? A Consensual Definition and a Review of Key Research Topics, Aip Conference Proceedings 1644: 97-104.
    Ferguson, Andrew G., (2015) Big Data and Predictive Reasonable Suspicion, University of Penn Law Review 163: 327-410.
    Samuelson, Pamela, (2016) Freedom to Tinker, Theoretical Inquires in Law 17: 563- 600.
    Campbell, D. Grant and Cowan, Scott R., (2016) The Paradox of Privacy: Revisiting a Core Library Value in an Age of Big Data and Linked Data, Library Trends 64: 492-511.
    Rich, Michael, (2016) Machine Learning, Automated Suspicion Algorithms, and the Fourth Amendment, University of Penn Law Review 164: 871-929.

    四、 其他資料
    Griswold v. Connecticut, 381 U.S. 479 (1965).
    Roe v. Wade, 410 U.S. 113 (1973).
    Whalen v. Roe, 429 U.S. 589 (1977).
    Cate, Fred H., and Cullen, Peter and Mayer-Schönberger, Viktor, (2014) Data Protection Principles for the 21st Century: Revising the 1980 OECD Guidelines.
    European Commission, (2014) Towards A Thriving Data-Driven Economy. https://www.kowi.de/de/Portaldata/2/Resources/fp/2014-COM-Big-Data.pdf.
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    Microsoft Corporation v. United States of America, No. 14-2985 (2d Cir. 2016).

    五、 網頁資料
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    Description: 碩士
    國立政治大學
    法律學系
    101651059
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G1016510592
    Data Type: thesis
    Appears in Collections:[法律學系] 學位論文

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