|
License Agreement on scientific materials use.
|
BIG DATA IN SOCIO-ETHICAL MEASUREMENT
|
Marina Anatol'evna Dedyulina
Southern Federal University
|
|
Submitted:
December 1, 2017
|
|
Abstract.
The article reveals the possibilities of studying the technology of Big Data in philosophy. Today, with the help of this technology, it is possible to intrude into people’s personal lives unpunished, restrict civil liberties, and also strengthen state and civil control. Big Data technologies call us to think about values and behavioral actions. The paper proposes to apply the theory of distributed morality for the analysis of Big Data. One of the significant problems of these technologies is confidentiality, which is associated with the effect of the Panopticon.
|
Key words and phrases:
Большие Данные
этика
эпистемология
цифровой код
конфиденциальность
Интернет
агент
распределенная мораль
Big Data
ethics
epistemology
digital code
confidentiality
Internet
agent
distributed morality
|
|
Open
the whole article in PDF format. Free PDF-files viewer can be downloaded here.
|
|
References:
- Berry D. The Computational Turn: Thinking about the Digital Humanities [Электронный ресурс] // Culture Machine. 2011. Vol. 12. URL: http://www.culturemachine.net/index.php/cm/article/view/440/470 (дата обращения: 11.10.2017).
- Boyd D., Crawford K. Critical Questions for Big Data // Information, Communication and Society. 2012. Vol. 15 (5). P. 662-667.
- Buschauer R. Datavisions - On Panoptica, Oligoptica, and (Big) Data // International Review of Information Ethics. 2016. Vol. 24 (05). P. 5-15.
- Davis K., Patterson D. Ethics of Big Data. United States of America, 2012. 65 p.
- Du Gay P., Pryke M. Cultural Economy: Cultural Analysis and Commercial Life. L.: Sage, 2002. 256 p.
- Floridi L. Big Data and Their Epistemological Challenge // Philosophy and Technology. 2012. № 25 (4). P. 435-437.
- Floridi L. Distributed Morality in an Information Society // Science and Engineering Ethics. 2013. Vol. 19 (3). P. 727-743.
- Floridi L. The Ethics of Information. Oxford: Oxford University Press, 2013. 436 p.
- Floridi L., Sanders J. W. On the Morality of Artificial Agents // Minds and Machines. 2004. Vol. 14 (3). P. 349-379.
- Manovich L. Trending: the Promises and the Challenges of Big Social Data [Электронный ресурс]. URL: http://www.manovich. net/DOCS/Manovich_trending_paper.pdf (дата обращения: 11.10.2017).
- Smolan R., Erwitt J. The Human Face of Big Data. Sausalito, CA: Against All Odds Productions, 2012. 224 р.
- Swan M. Philosophy of Big Data Expanding the Human-Data Relation with Big Data Science Services [Электронный ресурс]. URL: http://www.melanieswan.com/documents/Philosophy_of_Big_Data_SWAN.pdf (дата обращения: 11.10.2017).
|
|
