This book celebrates and mourns the increasing relevance of the 2008 volume of 'Profiling the European Citizen. Cross-Disciplinary Perspectives' (edited by Mireille Hildebrandt & Serge Gutwirth). Both volumes contain in-depth investigations by lawyers, philosophers and computer scientists into the legal, philosophical and computational background of the emerging algorithmic order. In BEING PROFILED:COGITAS ERGO SUM 23 scholars engage with the issues, underpinnings, operations and implications of micro-targeting, data-driven critical infrastructure, ethics-washing, p-hacking and democratic disruption. These issues have now become part of everyday life, reinforcing the urgency of the question: are we becoming what machines infer about us, or are we?This book has been designed as a work of art by Bob van Dijk, the hardcopy has been printed as a limited edition. The separate chapters (2000 word provocations) will become available in open access in 2019.
Author(s): İbrahim Emre Bayamlıoğlu, Irina Baraliuc, Liisa Janssens, Mireille Hildebrandt
Publisher: Amsterdam University Press
Year: 2018
Language: English
Pages: 148
Tags: Technology And Law, Information Society, Data protection, Law And legislation, European Union Countries
COVER FRONT......Page 1
TITLE PAGE......Page 5
TABLE OF CONTENTS......Page 6
FOREWORD - Paul Nemitz......Page 10
INTROITUS: what Descartes did not get - Mireille Hildebrandt......Page 14
From agency-enhancement intentions to profile-based optimisation tools: what is lost in translation - Sylvie Delacroix......Page 19
Mathematical values and the epistemology of data practices - Patrick Allo......Page 22
Stirring the POTs: protective optimization technologies1 - Seda Gürses, Rebekah Overdorf, Ero Balsa......Page 26
On the possibility of normative contestation of automated data-driven decisions - Emre Bayamlıoğlu......Page 32
How is ‘transparency’ understood by legal scholars and the machine learning community? - Karen Yeung and Adrian Weller......Page 38
Why data protection and transparency are not enough when facing social problems of machine learning in a big data context - Anton Vedder......Page 44
Transparency is the perfect cover-up (if the sun does not shine) - Jaap-Henk Hoepman......Page 48
Transparency as translation in data protection - Gloria González Fuster......Page 54
The presumption of innocence’s Janus head in data-driven government - Lucia M. Sommerer......Page 60
Predictive policing. In defence of ‘true positives’ -Sabine Gless......Page 64
The geometric rationality of innocence in algorithmic decisions - Tobias Blanke......Page 68
On the presumption of innocence in data-driven government. Are we asking the right question? - Linnet Taylor......Page 74
A legal response to data-driven mergers - Orla Lynskey......Page 80
Ethics as an escape from regulation. From “ethics-washing” to ethicsshopping? - Ben Wagner......Page 86
Citizens in data land - Arjen P. de Vries......Page 92
PART V: Saving machine learning from p-hacking......Page 100
From inter-subjectivity to multisubjectivity: Knowledge claims and the digital condition - Felix Stalder......Page 101
Preregistration of machine learning research design. Against P-hacking - Mireille Hildebrandt......Page 104
Induction is not robust to search - Clare Ann Gollnick......Page 108
Profiling as inferred data. Amplifier effects and positive feedback loops - Bart Custers......Page 114
A prospect of the future. How autonomous systems may qualify as legal persons - Liisa Janssens......Page 118
Profiles of personhood. On multiple arts of representing subjects - Niels van Dijk......Page 124
Imagining data, between Laplace’s demon and the rule of succession - Reuben Binns......Page 132
AUTHORS AND EDITORS......Page 136
COVER BACK......Page 148
