Being Profiled : : 10 Years of Profiling the European Citizen.

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Bibliographic Details
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TeilnehmendeR:
Place / Publishing House:Amsterdam : : Amsterdam University Press,, 2018.
Ã2019.
Year of Publication:2018
Edition:1st ed.
Language:English
Online Access:
Physical Description:1 online resource (145 pages)
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Table of Contents:
  • Intro
  • 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.