Full Description
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.
Contents
PART I Foreword Paul Nemitz Introitus: what Descartes did not get Mireille Hildebrandt Theories of normativity between law and machine learning - From agency-enhancement intentions to profile-based optimisation tools: what is lost in translation Sylvie Delacroix Mathematical values and the epistemology of data practices Patrick Allo Stirring the POTs: protective optimization technologies Seda Gürses, Rebekah Overdorf, Ero Balsa On the possibility of normative contestation of automated data-driven decisions Emre Bayaml?o?lu PART II Transparency theory for data-driven decision making - How is 'transparency' understood by legal scholars and the machine learning community? Karen Yeung and Adrian Weller Why data protection and transparency are not enough when facing social problems of machine learning in a big data context Anton Vedder Transparency is the perfect cover-up (if the sun does not shine) Jaap-Henk Hoepman Transparency as translation in data protection Gloria González Fuster PART III Presumption of innocence in data-driven government - The presumption of innocence's Janus head in data-driven government Lucia M. Sommerer Predictive policing. In defence of 'true positives' Sabine Gless The geometric rationality of innocence in algorithmic decisions Tobias Blanke On the presumption of innocence in data-driven government - Are we asking the right question? Linnet Taylor PART IV Legal and political theory in data-driven environments - A legal response to data-driven mergers Orla Lynskey Ethics as an escape from regulation - From "ethics-washing" to ethicsshopping? Ben Wagner Citizens in data land Arjen P. de Vries PART V Saving machine learning from p-hacking From inter-subjectivity to multisubjectivity - Knowledge claims and the digital condition Felix Stalder Preregistration of machine learning research design - Against P-hacking Mireille Hildebrandt Induction is not robust to search Clare Ann Gollnick PART VI The legal and ML status of micro-targeting - Profiling as inferred data. Amplifier effects and positive feedback loops Bart Custers A prospect of the future - How autonomous systems may qualify as legal persons Liisa Janssens Profiles of personhood. On multiple arts of representing subjects Niels van Dijk Imagining data, between Laplace's demon and the rule of succession Reuben Binns
