Group Privacy in the Age of Big Data

  • Kammourieh L
  • Baar T
  • Berens J
  • et al.
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Abstract

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 formu- late types, not tokens – they work to scale, and enable their users to target the col- lective 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 discus- sion. This chapter outlines the philosophical and legal concerns that arise from con- sidering group privacy, and sets out the challenge that this volume aims to answer.

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APA

Kammourieh, L., Baar, T., Berens, J., Letouzé, E., Manske, J., Palmer, J., … Vinck, P. (2017). Group Privacy in the Age of Big Data. In L. Taylor, L. Floridi, & B. van der Sloot (Eds.), Group Privacy: New Challenges of Data Technologies.

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