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
| ISBN-13: | 9789463722124 |
| ISBN-10: | 9463722122 |
| Publisher: | Amsterdam University Press |
| Publication date: | 2018 |
| Pages: | 139 |
| Product dimensions: | Height: 8 inches, Length: 5.5 inches, Weight: 0.48942622164 pounds, Width: 0.5 inches |
| Author: | Emre Bayamlioglu, Irina Baraliuc, Liisa Janssens, Mireille Hildebrandt |
| Language: | en |
| Binding: | Paperback |
Discover more books in the same category