Profiling the European citizen: why today's democracy needs to look harder at the negative potential of new technology than at its positive potential.

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Yes, you can access BEING PROFILED:COGITAS ERGO SUM by Emre Bayamlioglu, Irina Baraliuc, Liisa Albertha Wilhelmina Janssens, Mireille Hildebrandt, Emre Bayamlioglu,Irina Baraliuc,Liisa Albertha Wilhelmina Janssens,Mireille Hildebrandt in PDF and/or ePUB format, as well as other popular books in Social Sciences & Sociology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Amsterdam University Press

Year

2018

eBook ISBN

9789048550180

Edition

Topic

Social Sciences

Subtopic

Sociology

Index

Social Sciences

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

About this book

Frequently asked questions

Information

Table of contents