Introduction: A New Perspective on Privacy
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The introduction outlines the origin of the book in the concerns arising from new data analytical technologies with regard to collectives. Although their effects have so far been addressed only on the individual level, in fact profiling and machine learning technologies are directed at the group level and are used to formulate types, not tokens – they work to scale, and enable their users to target the collective as much as the individual. This means that our legal, philosophical and analytic attention to the individual may need to be adjusted, and possibly extended, in order to pay attention to the actual technological landscape unfolding before us. This book represents such an adjustment: it may be seen as an exploration of the territory that lies between ‘their privacy’ and ‘its privacy’, with regard to a given group. In this book we push the boundary towards ‘its’, and begin to think about the implications of that shift, first by identifying who must be involved in the discussion. This chapter outlines the philosophical and legal concerns that arise from considering group privacy, and sets out the challenge that this volume aims to answer.
KeywordsCollectives Group privacy Right to privacy Relational privacy Network effects GDPR Profiling Algorithms
- Barocas, S., and H. Nissenbaum. 2014. Big data’s end run around anonymity and consent. In: Privacy, big data, and the public good: Frameworks for engagement, 44–75. Cambridge: Cambridge University Press.Google Scholar
- Bloustein, E.J. 1978. Individual and group privacy. New Brunswick: Transaction Publishers.Google Scholar
- Brunton, F., and H. Nissenbaum. 2013. Political and ethical perspectives on data obfuscation. In: Privacy, due process and the computational turn: The philosophy of law meets the philosophy of technology, 164–188. New York: Routledge.Google Scholar
- Financial Times. 2016. When big data meets big brother. January 19, 2016. Accessed 21 Jan 2016 at http://www.ft.com/cms/s/0/b5b13a5eb84711e5b1518e15c9a029fb.html.
- ITU. 2015. Key ICT indicators for developed and developing countries and the world (totals and penetration rates). Retrieved from http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx.
- Lyon, D. 2008. Surveillance society. Presented at Festival del Diritto, Piacenza, Italia: September 28 2008.Google Scholar
- Manyika, J., M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. Hung Byers. 2011. Big data: The next frontier for innovation, competition and productivity. Washington, DC: McKinsey Global Institute.Google Scholar
- Roessler, B., and D. Mokrosinska. 2013. Privacy and social interaction. Philosophy & Social Criticism. July 2013., 0191453713494968.Google Scholar
- Samarajiva, R., and S. Lokanathan. 2016. Using behavioral big data for public purposes: Exploring frontier issues of an emerging policy arena. LirneAsia report. Retrieved from http://lirneasia.net/wp-content/uploads/2013/09/NVF-LIRNEasia-report-v8-160201.pdf.
- Vasak, K. 1977. ‘Human rights: A thirty year struggle: The sustained efforts to give force of law to the universal declaration of human rights’, UNESCO Courier 30:11, Paris, United Nations Educational, Scientific, and Cultural Organization.Google Scholar
- Westin, A. 1967. Privacy and freedom. New York: Atheneum.Google Scholar