Frontmatter -- Table Of Contents -- Profiling The European Citizen: Why Today'S Democracy Needs To Look Harder At The Negative Potential Of New Technology Than At Its Positive Potential / Nemitz, Paul -- Introitus: What Descartes Did Not Get / Hildebrandt, Mireille -- Part I. Theories Of Normativity Between Law And Machine Learning -- From Agency-Enhancement Intentions To Profile-Based Optimisation Tools: What Is Lost In Translation / Delacroix, Sylvie -- Mathematical Values And The Epistemology Of Data Practices / Allo, Patrick -- Stirring The Pots: Protective Optimization Technologies / Gürses, Seda / Overdorf, Rebekah / Balsa, Ero -- On The Possibility Of Normative Contestation Of Automated Data-Driven Decisions / Bayamlioğlu, Emre -- Part II. Transparency Theory For Data-Driven Decision Making -- How Is 'Transparency' Understood By Legal Scholars And The Machine Learning Community? / Yeung, Karen / Weller, Adrian -- Why Data Protection And Transparency Are Not Enough When Facing Social Problems Of Machine Learning In A Big Data Context / Vedder, Anton -- Transparency Is The Perfect Cover-Up (If The Sun Does Not Shine) / Hoepman, Jaap-Henk -- Transparency As Translation In Data Protection / González Fuster, Gloria -- Part III. Presumption Of Innocence In Data-Driven Government -- The Presumption Of Innocence's Janus Head In Data-Driven Government / Sommerer, Lucia M. -- Predictive Policing. In Defence Of 'True Positives' / Gless, Sabine -- The Geometric Rationality Of Innocence In Algorithmic Decisions / Blanke, Tobias -- On The Presumption Of Innocence In Data-Driven Government. Are We Asking The Right Question? / Taylor, Linnet -- Part IV. Legal And Political Theory In Data-Driven Environments -- A Legal Response To Data-Driven Mergers / Lynskey, Orla -- Ethics As An Escape From Regulation. From "Ethics-Washing" To Ethics-Shopping? / Wagner, Ben -- Citizens In Data Land / De Vries, Arjen P. -- Part V. Saving Machine Learning From P-Hacking -- From Inter-Subjectivity To Multi-Subjectivity: Knowledge Claims And The Digital Condition / Stalder, Felix -- Preregistration Of Machine Learning Research Design. Against P-Hacking / Hildebrandt, Mireille -- Induction Is Not Robust To Search / Gollnick, Clare Ann -- Part VI. The Legal And Ml Status Of Micro-Targeting -- Profiling As Inferred Data. Amplifier Effects And Positive Feedback Loops / Custers, Bart -- A Prospect Of The Future. How Autonomous Systems May Qualify As Legal Persons / Janssens, Liisa -- Profiles Of Personhood. On Multiple Arts Of Representing Subjects / Dijk, Niels Van -- Imagining Data, Between Laplace'S Demon And The Rule Of Succession / Binns, Reuben -- Authors And Editors

Open Access unrestricted online access star

https://purl.org/coar/access_right/c_abf2

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.

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC-ND 3.0 license:

https://creativecommons.org/licenses/by-nc-nd/3.0https://www.aup.nl/en/publish/open-access

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 23. Jul 2019)