UID:
edoccha_9959013785502883
Format:
1 online resource (148)
Edition:
1st ed.
Content:
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.
Note:
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 /
,
Introitus: What Descartes Did Not Get /
,
Part I. Theories Of Normativity Between Law And Machine Learning --
,
From Agency-Enhancement Intentions To Profile-Based Optimisation Tools: What Is Lost In Translation /
,
Mathematical Values And The Epistemology Of Data Practices /
,
Stirring The Pots: Protective Optimization Technologies /
,
On The Possibility Of Normative Contestation Of Automated Data-Driven Decisions /
,
Part II. Transparency Theory For Data-Driven Decision Making --
,
How Is 'Transparency' Understood By Legal Scholars And The Machine Learning Community? /
,
Why Data Protection And Transparency Are Not Enough When Facing Social Problems Of Machine Learning In A Big Data Context /
,
Transparency Is The Perfect Cover-Up (If The Sun Does Not Shine) /
,
Transparency As Translation In Data Protection /
,
Part III. Presumption Of Innocence In Data-Driven Government --
,
The Presumption Of Innocence's Janus Head In Data-Driven Government /
,
Predictive Policing. In Defence Of 'True Positives' /
,
The Geometric Rationality Of Innocence In Algorithmic Decisions /
,
On The Presumption Of Innocence In Data-Driven Government. Are We Asking The Right Question? /
,
Part IV. Legal And Political Theory In Data-Driven Environments --
,
A Legal Response To Data-Driven Mergers /
,
Ethics As An Escape From Regulation. From "Ethics-Washing" To Ethics-Shopping? /
,
Citizens In Data Land /
,
Part V. Saving Machine Learning From P-Hacking --
,
From Inter-Subjectivity To Multi-Subjectivity: Knowledge Claims And The Digital Condition /
,
Preregistration Of Machine Learning Research Design. Against P-Hacking /
,
Induction Is Not Robust To Search /
,
Part VI. The Legal And Ml Status Of Micro-Targeting --
,
Profiling As Inferred Data. Amplifier Effects And Positive Feedback Loops /
,
A Prospect Of The Future. How Autonomous Systems May Qualify As Legal Persons /
,
Profiles Of Personhood. On Multiple Arts Of Representing Subjects /
,
Imagining Data, Between Laplace'S Demon And The Rule Of Succession /
,
Authors And Editors
,
English.
Additional Edition:
ISBN 90-485-5018-1
Additional Edition:
ISBN 94-6372-212-2
Language:
English