Big Data and Algorithm: Preliminary Notes from Germany
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Big Data is often defined in terms of the sheer volume of data from different sources combined with mass storage devices and informational tools that analyse this data. Volume of data, variety of data resources and velocity of analysis speed should characterise Big Data. The author proposes a different approach to this term. From his point of view this notion of Big Data is a bit misleading for at least two reasons: it seems to refer only to the aspects of data and it seems to be technological. Instead, he thinks that Big Data is more of a phenomenon and a complex social practice. It comprises not only data, data storage hardware and software and data analytic tools but also the social practice of using Big Data technologies for societal purposes. Therefore, he proposes that Big Data may best be viewed as a method of generating new knowledge. He goes on to say that in a democratic and open society, the generation of new knowledge is appreciated and covered by various legal guarantees. As a new form (technology), it is accompanied by great promises as well as great fears. Whether these expectations will be met remains uncertain, at least for the time being. However, this social practice has the potential to at least call into question some important institutional arrangements, e.g. aspects of the approach to data protection or other basic conceptions. Regulatory efforts thus seem unavoidable. However, a number of answers seem to be possible. Before advocating for regulation, it seems expedient to observe its development instead of taking the possible threats as a starting point for regulatory efforts. There is good reason to expect that even this new form of automatically generated knowledge will be embedded in society. Together with the adaption of the legal framework due to arising or existing problems, this will form a new regime of knowledge.
Abstract
Big Data is often defined in terms of the sheer volume of data from different sources combined with mass storage devices and informational tools that analyse this data. Volume of data, variety of data resources and velocity of analysis speed should characterise Big Data. The author proposes a different approach to this term. From his point of view this notion of Big Data is a bit misleading for at least two reasons: it seems to refer only to the aspects of data and it seems to be technological. Instead, he thinks that Big Data is more of a phenomenon and a complex social practice. It comprises not only data, data storage hardware and software and data analytic tools but also the social practice of using Big Data technologies for societal purposes. Therefore, he proposes that Big Data may best be viewed as a method of generating new knowledge. He goes on to say that in a democratic and open society, the generation of new knowledge is appreciated and covered by various legal guarantees. As a new form (technology), it is accompanied by great promises as well as great fears. Whether these expectations will be met remains uncertain, at least for the time being. However, this social practice has the potential to at least call into question some important institutional arrangements, e.g. aspects of the approach to data protection or other basic conceptions. Regulatory efforts thus seem unavoidable. However, a number of answers seem to be possible. Before advocating for regulation, it seems expedient to observe its development instead of taking the possible threats as a starting point for regulatory efforts. There is good reason to expect that even this new form of automatically generated knowledge will be embedded in society. Together with the adaption of the legal framework due to arising or existing problems, this will form a new regime of knowledge.
참고문헌 (45)
- "Netflix Recommendations: Beyond the 5 stars (Part 1, 2)" (2012)[URL]
- Anderson, Chris, "The End of Theory", Wired, 16(7) (2008)
- Boyd, Danah, "Critical Questions for Big Data", Information, Communication & Society, 4(5), pp.662~ (2012)
- "Big Data and Innovation, Setting the Record Straight: De-identification Does Work" (2014)[URL]
- Cormen, Thomas H, "Introduction to Algorithms" (2009)
- "The Hidden Biases in Big Data" (2013)[URL]
- Daston, Lorraine, "Baconsche Tatsachen", Rechtsgeschichte, 1, pp.38~ (2002)
- "Big Data - die ungezähmte Macht" (2014)[URL]
- "Big Data, Seizing Opportunities - Preserving Values" (2014)[URL]
- Foucault, Michel, "Überwachen und Strafen" (1977)
- "Gartner IT Glossary: Big data"[URL]
- "The Relevance of Algorithms" (2012)[URL]
- "Kleine Daten, große Wirkung. Big Data einfach auf den Punkt gebracht" (2013)[URL]
- "Slaves to Big Data, Or are We" (2013)[URL]
- Hofstädter, Yvonne, "Sie wissen alles: Wie intelligente Maschinen in unser Leben eindringen und warum wir für unsere Freiheit kämpfen müssen" (2014)
- "Big Data and Data Protection" (2014)[URL]
- "Filter Bubble? Warum die Gefahren der Bubble überschätztwerden" (2012)[URL]
- Kruse, Rudolf, "Steinbrecher, Matthias: Computational Intelligence" (2011)
- Ladeur, Karl-Heinz, "Der Staat gegen die Gesellschaft" (2006)
- Luhmann, Niklas, "Die Realität der Massenmedien" (1996)
- Mainzer, Klaus, "Vonder Weltformel zu Big Data" (2014)
- Mayer-Schönberger, Viktor, "Big Data. Die Revolution, die unser Leben verändern wird" (2013)
- "Big Data Protection. How to Make the Draft EU Regulation on Data Protection Future Proof" (2014)[URL]
- Morgenroth, Markus, "Sie k ennen D ich! S iehaben Dich! Sie steuern Dich" (2014)
- Pariser, Eli, "Wie wir im Netzentmündigt werden" (2012)
- Pasquale, Frank, "The Black Box Society" (2015)
- "Working Party on Privacy and Security in the Digital Economy: Summary of the OECD Privacy Expert Roundtable" (2014)[URL]
- O’Neil, Cathy, "Straight Talk from the Frontline" (2014)
- Räsänen, Minna, "The Raw is cooked: Data in Intelligence Practice", Science, Technology & Human Values, 38(5), pp.665~
- Reichert, Ramón, "Analysen zum digitalen Wandel von Wissen, Macht und Ökonomie" (2014)
- Rheinberger, Hans-Jörg, "Nach Feierabend. Zürcher Jahrbuch für Wissensgeschichte 3", pp.117~ (2007)
- Rosenberg, Daniel, "Raw Data“ is an Oxymoron", pp.16~ (2013)
- "Big data. The end of privacy or a new beginning" (2013)[URL]
- Schneider, Michael, "Literatur, Medien und das Unmögliche" (2013)
- "Knowing Algorithms, Media in Transition 8" (2013)[URL]
- Simanowski, Roberto, "Data Love" (2014)
- "How to get started with big data" (2013)[URL]
- "Interview"[URL]
- "Big data for All; Privacy and User Control in the Age of Big Data Analytics" (2013)[URL]
- Trute, Hans-Heinrich, "Handbuch des Datenschutzrechts", pp.157~ (2003)
- Van Otterlo, Martijn, "Privacy, Due Process and the Computational Turn - The philosophy of law meets the philosophy of technology", pp.41~ (2013)
- Forschungsdatenmanagement an Hochschulen-Internationaler Überblick und Aspekte eines Konzepts für die Humboldt-Universität zu Berlin, "Walther, Marcel", ~ (2013)
- Weichert, Thilo, "Big Data - Das neue Versprechen der Allwissenheit", pp.131~ (2013)
- "Unlocking the Value of Personal Data: From Collection to Usage, World Economic Forum" (2013)[URL]