Group Privacy: New Challenges of Data Technologies | Taylor, Floridi, van der Sloot


Linnet Taylor, Luciano Floridi, Bart van der Sloot (editors); Group Privacy: New Challenges of Data Technologies; Philosophical Studies Series, Volume 126; Springer; 2017? 249 pages; ISBN:978-3-319-46606-4, ISBN:978-3-319-46608-8, DOI:10.1007/978-3-319-46608-8

tl;dr → problematizing the space; privacy doesn’t work is in opposition to itself in a group setting.

Contents

  1. Introduction
    A New Perspective on Privacy
    Linnet Taylor, Luciano Floridi, Bart van der Sloot
  2. Safety in Numbers?
    Group Privacy and Big Data Analytics in the Developing World
    Linnet Taylor
  3. Group Privacy in the Age of Big Data
    Lanah Kammourieh, Thomas Baar, Jos Berens, Emmanuel Letouzé, Julia Manske, John Palmer, David Sangokoya, Patrick Vinck
  4. Beyond “Do No Harm” and Individual Consent
    Reckoning with the Emerging Ethical Challenges of Civil Society’s Use of Data
    Nathaniel A. Raymond
  5. Group Privacy
    A Defence and an Interpretation
    Luciano Floridi
  6. Social Machines as an Approach to Group Privacy
    Kieron O’Hara, Dave Robertson
  7. Indiscriminate Bulk Data Interception and Group Privacy: Do Human Rights Organisations Retaliate Through Strategic Litigation?
    Quirine Eijkman
  8. From Group Privacy to Collective Privacy
    Towards a New Dimension of Privacy and Data Protection in the Big Data Era
    Alessandro Mantelero
  9. The Group, the Private, the Individual
    A New Level of Data Protection?
    Ugo Pagallo
  10. Genetic Classes and Genetic Categories
    Protecting Genetic Groups Through Data Protection Law
    Dara Hallinan, Paul de Hert
  11. Do Groups Have a Right to Protect Their Group Interest in Privacy and Should They?
    Peeling the Onion of Rights and Interests Protected Under Article 8 ECHR
    Bart van der Sloot
  12. Conclusion: What Do We Know About Group Privacy?
    Linnet Taylor, Bart van der Sloot, Luciano Floridi

Promotions

And among the promotion.

Mentions

  • Oxford Internet Institute,
    as the culmination of a fellowship-type residency therein.

Who

  • Luciano Floridi
    Honorific: <quote>a leading philosopher of information</quote>
    promotional site
  • Lynette Taylor, self
  • Bart van der Sloot, Tilburg University, ex-University of Amsterdam
    (current) faculty page

Referenced

Argot

The Suitcase Words
  • perspectives,
    disciplinary perspectives,
    different disciplinary perspectives
  • intervention,
    policy intervention,
    [to be] subject to a policy intervention,
    a.k.a. <quote>guinea pig for an experiment</quote>, necessarily a metaphorical reference because a data subject is not a guinea pig (Cavia porcellus)
  • collectives,
    ad hoc collectives,
    ad hoc collectives create,
    AI and algorithmic methods create ad hoc collective

 

The future of consumer data protection in the E.U. Re-thinking the “notice and consent” paradigm in the new era of predictive analytics | Alessandro Mantelero

Alessandro Mantelero; The future of consumer data protection in the E.U. Re-thinking the “notice and consent” paradigm in the new era of predictive analytics; In Computer Law & Security Review; Volume 30, Issue 6, 2014-12, Pages 643–660 (30 pages); paywall.

Alessandro Mantelero, ResearchGate, landing.

Abstract

The new E.U. proposal for a general data protection regulation has been introduced to give an answer to the challenges of the evolving digital environment. In some cases, these expectations could be disappointed, since the proposal is still based on the traditional main pillars of the last generation of data protection laws. In the field of consumer data protection, these pillars are the purpose specification principle, the use limitation principle and the “notice and consent” model. Nevertheless, the complexity of data processing, the power of modern analytics and the “transformative” use of personal information drastically limit the awareness of consumers, their capability to evaluate the various consequences of their choices and to give a free and informed consent.

To respond to the above, it is necessary to clarify the rationale of the “notice and consent” paradigm, looking back to its origins and assessing its effectiveness in a world of predictive analytics. From this perspective, the paper considers the historical evolution of data protection and how the fundamental issues coming from the technological and socio-economic contexts have been addressed by regulations. On the basis of this analysis, the author suggests a revision of the “notice and consent” model focused on the opt-in and proposes the adoption of a different approach when, such as in Big Data collection, the data subject cannot be totally aware of the tools of analysis and their potential output. For this reason, the author sustains the provision of a subset of rules for Big Data analytics, which is based on a multiple impact assessment of data processing, on a deeper level of control by data protection authorities, and on the different opt-out model.